Thesis Topics on Digital Image Watermarking
•Download as PPTX, PDF•
0 likes•118 views
FOREMOST APPLICATIONS IN WATERMARKING KEY NOTES ON DIGITAL IMAGE WATERMARKING CATEGORIZATION OF WATERMARKING
Report
Share
Report
Share
Recommended
Image processing research proposal
This document outlines the requirements specification for a research project on video watermarking. The main aims of the project are to address copyright protection of digital video and develop a video watermarking scheme based on the Discrete Wavelet Transform using Matlab Simulink. The goals are to embed a watermark imperceptibly into video while making it robust against various attacks. The justification is that video faces increased attacks compared to other media. The work schedule outlines tasks from February to June 2015 including research, planning, analysis, design, coding and testing.
Paper Explaination : A Survey of Digital Watermarking Techniques, Application...
Its is a presentation of the paper :
A Survey of Digital Watermarking Techniques, Applications and Attacks : A paper by Prabhishek Singh, R S Chadha
Ppt nc
This document compares watermarking and cryptography. It discusses that watermarking involves hiding secret information in digital images while cryptography transforms information into an unreadable format. Watermarking provides security and an extra layer of authentication while cryptography focuses on protecting the meaning of documents. The document also outlines some advantages and disadvantages of each technique such as watermarking being more resistant to attacks but cryptography providing better security through encryption.
Digital watermarking Techniques
A complete introduction and comparison of various watermarking techniques along with applications, architecture, features, attacks and an implemented example.
digital watermarking
Digital watermarking allows information to be hidden in images and later extracted for purposes like identification and authentication. It has properties like robustness, transparency, security and complexity. There are two main types: perceptible and imperceptible watermarks. Watermarking techniques include image domain, transform domain and masking. Digital watermarking provides advantages like easy embedding and platform independence, while disadvantages include loss of watermark from image manipulation. Applications include military uses like tamper detection and civilian uses like copyright protection of digital media.
digital watermarking
Digital watermarking involves hiding copyright information in digital files like images, audio, and video. It differs from steganography, which hides messages within files, and cryptography, which encrypts files. The watermarking process embeds a watermark, then the watermarked file may be attacked; extraction detects the watermark. Watermarks can be visible or invisible, robust or fragile. Techniques include modifying least significant bits, separating color bands, or altering bit streams. Watermarking aims to protect copyrights, identify customers who break licenses, and monitor authorized broadcast of content.
Digital Watermarking
Digital watermarking allows users to embed special patterns or data into digital content like images, audio, and video without changing the perceptual quality. Watermarking helps protect copyright ownership by embedding information directly into the media itself through small changes to the content data. Watermarks can be invisible, inseparable from the content after processing, and do not change the file size. Watermarks are classified based on human perception (visible or invisible), robustness (fragile, semi-fragile, or robust), and the type of document (text, image, audio, or video). Frequency domain techniques like discrete cosine transformation are commonly used to embed watermarks in images and videos.
Digital Watermarking
This presentation provides an introduction to the digital watermarking topic, it also shows the types of watermarking, watermarking desired properties and the related applications.
Recommended
Image processing research proposal
This document outlines the requirements specification for a research project on video watermarking. The main aims of the project are to address copyright protection of digital video and develop a video watermarking scheme based on the Discrete Wavelet Transform using Matlab Simulink. The goals are to embed a watermark imperceptibly into video while making it robust against various attacks. The justification is that video faces increased attacks compared to other media. The work schedule outlines tasks from February to June 2015 including research, planning, analysis, design, coding and testing.
Paper Explaination : A Survey of Digital Watermarking Techniques, Application...
Its is a presentation of the paper :
A Survey of Digital Watermarking Techniques, Applications and Attacks : A paper by Prabhishek Singh, R S Chadha
Ppt nc
This document compares watermarking and cryptography. It discusses that watermarking involves hiding secret information in digital images while cryptography transforms information into an unreadable format. Watermarking provides security and an extra layer of authentication while cryptography focuses on protecting the meaning of documents. The document also outlines some advantages and disadvantages of each technique such as watermarking being more resistant to attacks but cryptography providing better security through encryption.
Digital watermarking Techniques
A complete introduction and comparison of various watermarking techniques along with applications, architecture, features, attacks and an implemented example.
digital watermarking
Digital watermarking allows information to be hidden in images and later extracted for purposes like identification and authentication. It has properties like robustness, transparency, security and complexity. There are two main types: perceptible and imperceptible watermarks. Watermarking techniques include image domain, transform domain and masking. Digital watermarking provides advantages like easy embedding and platform independence, while disadvantages include loss of watermark from image manipulation. Applications include military uses like tamper detection and civilian uses like copyright protection of digital media.
digital watermarking
Digital watermarking involves hiding copyright information in digital files like images, audio, and video. It differs from steganography, which hides messages within files, and cryptography, which encrypts files. The watermarking process embeds a watermark, then the watermarked file may be attacked; extraction detects the watermark. Watermarks can be visible or invisible, robust or fragile. Techniques include modifying least significant bits, separating color bands, or altering bit streams. Watermarking aims to protect copyrights, identify customers who break licenses, and monitor authorized broadcast of content.
Digital Watermarking
Digital watermarking allows users to embed special patterns or data into digital content like images, audio, and video without changing the perceptual quality. Watermarking helps protect copyright ownership by embedding information directly into the media itself through small changes to the content data. Watermarks can be invisible, inseparable from the content after processing, and do not change the file size. Watermarks are classified based on human perception (visible or invisible), robustness (fragile, semi-fragile, or robust), and the type of document (text, image, audio, or video). Frequency domain techniques like discrete cosine transformation are commonly used to embed watermarks in images and videos.
Digital Watermarking
This presentation provides an introduction to the digital watermarking topic, it also shows the types of watermarking, watermarking desired properties and the related applications.
Digital watermarking
Digital watermarking embeds invisible identifying information into digital content like audio, video, and images. This allows copyright owners to establish ownership and prevents unauthorized distribution even if the content is copied. There are different types of watermarks that can be embedded, including robust watermarks that are difficult to remove and fragile watermarks that are destroyed if the content is tampered with. However, watermarks are not impossible to attack, as image processing techniques can potentially disable or overwrite them.
Report on Digital Watermarking Technology
Digital watermarking is the process of embedding information into digital multimedia content such that the information (which we call the watermark) can later be extracted or detected for a variety of purposes including copy prevention and control.
Digital water marking
This document provides an overview of digital watermarking. It defines digital watermarking as a technique that embeds a low-energy signal or watermark imperceptibly into digital content. The document discusses different types of watermarking including robust, fragile, visible, and invisible watermarking. It also outlines various digital watermarking techniques and applications for copyright protection, content authentication, and metadata tagging. The document concludes that digital watermarking is an effective technique for protecting digital content and preventing illegal copying.
Digital watermarking techniques for security applications
This document discusses digital watermarking techniques for security applications. Digital watermarking involves embedding a secret watermark into digital media like images, video and audio. This allows for authentication of data and copyright protection. There are two main types of watermarking - spatial domain, which embeds watermarks by modifying pixel values, and frequency domain, which represents the image in transform coefficients and embeds watermarks there. Digital watermarking has applications like copyright protection, medical records, and privacy controls of images. Common attacks aim to remove or interfere with watermarks through operations like noise insertion, compression, or attempts to extract the watermark without authorization.
Digital watermarking
Digital Watermarking is used prominently for security purposes nowadays.It is a Presentation on digital watermarking and its uses.
Digitalwatermarking
The document discusses digital watermarking, which involves embedding invisible copyright information into digital media like images, video, and audio. It can serve as a supplementary technique to encryption to help address challenges of protecting intellectual property in the digital age. The summary provides an overview of digital watermarking technology and classifications of watermarks, distinguishing visible watermarks meant to identify owners from invisible watermarks that are imperceptible but can still embed copyright details. The goal is to make watermarks robust against modifications while keeping them invisible or inaudible to humans.
Digital watermarking
Digital image watermarking is a technique to hide information (the watermark) within an image. It can be used for identification, authentication, and copyright protection. There are different domains to embed watermarks, including the spatial, wavelet, and frequency domains. The watermark is imperceptible, robust, inseparable from the image, and provides security. Watermarks can be extracted from the watermarked image after embedding.
Digital Watermarking
Digital watermarking techniques can be used to hide copyright information in digital media such as images, audio, and video. There are three main phases in a digital watermarking system: embedding, where the watermark is hidden in the cover media; attacks, where the watermarked content may be modified; and extraction, where the watermark is detected. Watermarking techniques can be classified based on various parameters such as whether they produce robust or fragile watermarks, the domain in which embedding occurs (spatial or frequency), and whether keys are required for embedding and detection. Common spatial domain techniques include least significant bit embedding and spread spectrum modulation, while frequency domain techniques operate in the discrete cosine transform or discrete wavelet transform domains.
Digitalwatermarking
Digital watermarking involves embedding a hidden signal or watermark into digital content like images, audio or video. It can be used for copyright protection, content authentication and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking, color separation and bit stream watermarking. Digital watermarking faces attacks from techniques like Stirmark and mosaic attacks but continues to be an effective method for protecting digital multimedia content and verifying its authenticity.
Digital watermarking
Digital watermarking is a technique for hiding copyright information in digital content such as images, audio and video. A digital watermark is imperceptibly embedded in the digital content and can be extracted or detected to prove ownership. There are two main types of watermarks - visible watermarks that can be seen and invisible watermarks that cannot be seen by the human eye. Watermarking techniques include spatial domain and frequency domain methods. The Fast Hadamard Transform is commonly used for digital image watermarking as it allows for faster processing times and robust watermarks. The watermarking process involves embedding, attacks on the watermarked content, and detection of the watermark.
Digital Watermarking
This document discusses digital watermarking (DWM), which involves hiding invisible signatures or visible logos in digital media like images, video and audio. DWM can be used for copyright protection, owner identification and content authentication. Watermarks are classified as perceptible or imperceptible, robust or fragile, and private or public depending on their visibility, ability to withstand modifications, and whether the original data is needed for detection. The document outlines the DWM process, common attacks, advantages, disadvantages and techniques like least significant bit encoding.
Digital Water Marking For Video Piracy Detection
The document proposes a digital watermarking system to detect video piracy. Digital watermarks contain copyright information embedded in videos. The proposed system spreads watermarks throughout videos and makes them invisible, preventing easy removal. It embeds owner/distributor details, serial numbers and transaction dates. This allows tracing pirated videos back to their source by extracting the watermark information. The system overcomes issues like visible, concentrated watermarks in existing systems.
digital-water-marking-created-by-subrat&rubi
This document discusses digital watermarking techniques. It describes visible and invisible watermarks, and classifications of watermarking including spatial and frequency domain embedding, fragile vs robust watermarks, and blind vs non-blind watermark systems. Parameters for watermarking like transparency, robustness, security and capacity are covered. Applications include digital copyright protection, fingerprinting, medical uses, and authentication. The document concludes that watermarking embeds useful data in multimedia and recent research applies it to 3D objects, with proposed algorithms showing robustness against 70% of attacks.
Watermark
Digital watermarks are embedded signals or patterns inserted into digital media like text, images, or video that carry copyright information. There are various techniques for watermarking different types of media. Watermarking leaves the original file intact while encryption transforms the file contents. Popular watermarking applications include ownership assertion, fingerprinting to trace copies, authentication and integrity verification, content labeling, usage control, and content protection with visible watermarks. Watermarks should be detectable, unambiguous, and robust against attacks. Text watermarking alters spacing, images can modify pixel values in spatial or frequency domains, and checksum techniques embed a checksum in pixel bits. However, early watermarking schemes provided only limited protection against removal or forgery.
Digital Audio Watermarking
This document presents an overview of digital audio watermarking using the Least Significant Bit (LSB) technique. It discusses embedding a watermark image into an audio signal by replacing the LSBs of the audio with the bits of the image. The document outlines the process, including embedding the watermark, extracting the watermark, and presenting simulation results. It also discusses the advantages of LSB being easy to implement and having low quality degradation, but the disadvantages of being less robust and vulnerable to attacks.
Watermarkingppt
This document summarizes a student project on reversible data hiding techniques. The project compares different reversible watermarking methods and proposes a new technique that embeds a secret bitstream into a color image using bisection and square root interpolation. Experimental results showed the embedded and extracted bitstreams had a correlation of 1, indicating no data loss. Future work could improve the algorithm security by using multiple color planes and transformations for watermarking.
Watermarking in-imageprocessing
Full animated slides, produced to give the introductory+advance knowledge about watermaking techniques.
Image authentication techniques based on Image watermarking
This document discusses image authentication techniques using digital watermarking. It defines digital watermarking as a technique for inserting information like a watermark into an image that can later be extracted or detected to protect copyright and ensure tamper resistance. The process involves embedding a watermark during insertion, potential attacks on the watermarked image, and detection of the watermark. Various domains for embedding watermarks are discussed like the spatial domain and transform domains like DCT and DWT. Properties of good watermarks and classifications of watermarks like robust and fragile are also summarized.
Chapter1 2
The document provides an overview of digital watermarking. It defines watermarking as imperceptibly altering a work to embed a message about the work. The document outlines the history of watermarking and discusses its applications, including owner identification, proof of ownership, broadcast monitoring, transaction tracking, and content authentication. It also compares watermarking to other techniques like cryptography and discusses the importance of digital watermarking for copyright protection in the digital age.
Watermark
The document discusses watermarking, including its history and different types. It defines watermarking as a recognizable image or pattern embedded in paper or a digital signal inserted into digital content to carry ownership information. The summary describes visible watermarking, which embeds visible logos or text, and invisible watermarking, which makes imperceptible changes to encode data. It also classifies watermarking as either text-based, image-based, or audio/video-based and discusses example watermarking techniques and applications for copyright protection.
Jq3417501753
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Seminar PPT on Crypto Watermarking B.Tech
This document discusses crypto watermarking techniques. Crypto watermarking embeds a secret message (watermark) into multimedia content like images and videos using encryption to provide authentication, ownership verification, and tamper detection. It can be used for applications in medical, military, law enforcement, and e-commerce. Crypto watermarking techniques include symmetric, which uses the same key for encryption and decryption, and asymmetric, which uses public and private keys. Examples of crypto watermarking algorithms in the spatial, frequency, and video domains are described. Crypto watermarking faces challenges balancing imperceptibility, robustness, and security. Future work could improve addressing these challenges.
More Related Content
What's hot
Digital watermarking
Digital watermarking embeds invisible identifying information into digital content like audio, video, and images. This allows copyright owners to establish ownership and prevents unauthorized distribution even if the content is copied. There are different types of watermarks that can be embedded, including robust watermarks that are difficult to remove and fragile watermarks that are destroyed if the content is tampered with. However, watermarks are not impossible to attack, as image processing techniques can potentially disable or overwrite them.
Report on Digital Watermarking Technology
Digital watermarking is the process of embedding information into digital multimedia content such that the information (which we call the watermark) can later be extracted or detected for a variety of purposes including copy prevention and control.
Digital water marking
This document provides an overview of digital watermarking. It defines digital watermarking as a technique that embeds a low-energy signal or watermark imperceptibly into digital content. The document discusses different types of watermarking including robust, fragile, visible, and invisible watermarking. It also outlines various digital watermarking techniques and applications for copyright protection, content authentication, and metadata tagging. The document concludes that digital watermarking is an effective technique for protecting digital content and preventing illegal copying.
Digital watermarking techniques for security applications
This document discusses digital watermarking techniques for security applications. Digital watermarking involves embedding a secret watermark into digital media like images, video and audio. This allows for authentication of data and copyright protection. There are two main types of watermarking - spatial domain, which embeds watermarks by modifying pixel values, and frequency domain, which represents the image in transform coefficients and embeds watermarks there. Digital watermarking has applications like copyright protection, medical records, and privacy controls of images. Common attacks aim to remove or interfere with watermarks through operations like noise insertion, compression, or attempts to extract the watermark without authorization.
Digital watermarking
Digital Watermarking is used prominently for security purposes nowadays.It is a Presentation on digital watermarking and its uses.
Digitalwatermarking
The document discusses digital watermarking, which involves embedding invisible copyright information into digital media like images, video, and audio. It can serve as a supplementary technique to encryption to help address challenges of protecting intellectual property in the digital age. The summary provides an overview of digital watermarking technology and classifications of watermarks, distinguishing visible watermarks meant to identify owners from invisible watermarks that are imperceptible but can still embed copyright details. The goal is to make watermarks robust against modifications while keeping them invisible or inaudible to humans.
Digital watermarking
Digital image watermarking is a technique to hide information (the watermark) within an image. It can be used for identification, authentication, and copyright protection. There are different domains to embed watermarks, including the spatial, wavelet, and frequency domains. The watermark is imperceptible, robust, inseparable from the image, and provides security. Watermarks can be extracted from the watermarked image after embedding.
Digital Watermarking
Digital watermarking techniques can be used to hide copyright information in digital media such as images, audio, and video. There are three main phases in a digital watermarking system: embedding, where the watermark is hidden in the cover media; attacks, where the watermarked content may be modified; and extraction, where the watermark is detected. Watermarking techniques can be classified based on various parameters such as whether they produce robust or fragile watermarks, the domain in which embedding occurs (spatial or frequency), and whether keys are required for embedding and detection. Common spatial domain techniques include least significant bit embedding and spread spectrum modulation, while frequency domain techniques operate in the discrete cosine transform or discrete wavelet transform domains.
Digitalwatermarking
Digital watermarking involves embedding a hidden signal or watermark into digital content like images, audio or video. It can be used for copyright protection, content authentication and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking, color separation and bit stream watermarking. Digital watermarking faces attacks from techniques like Stirmark and mosaic attacks but continues to be an effective method for protecting digital multimedia content and verifying its authenticity.
Digital watermarking
Digital watermarking is a technique for hiding copyright information in digital content such as images, audio and video. A digital watermark is imperceptibly embedded in the digital content and can be extracted or detected to prove ownership. There are two main types of watermarks - visible watermarks that can be seen and invisible watermarks that cannot be seen by the human eye. Watermarking techniques include spatial domain and frequency domain methods. The Fast Hadamard Transform is commonly used for digital image watermarking as it allows for faster processing times and robust watermarks. The watermarking process involves embedding, attacks on the watermarked content, and detection of the watermark.
Digital Watermarking
This document discusses digital watermarking (DWM), which involves hiding invisible signatures or visible logos in digital media like images, video and audio. DWM can be used for copyright protection, owner identification and content authentication. Watermarks are classified as perceptible or imperceptible, robust or fragile, and private or public depending on their visibility, ability to withstand modifications, and whether the original data is needed for detection. The document outlines the DWM process, common attacks, advantages, disadvantages and techniques like least significant bit encoding.
Digital Water Marking For Video Piracy Detection
The document proposes a digital watermarking system to detect video piracy. Digital watermarks contain copyright information embedded in videos. The proposed system spreads watermarks throughout videos and makes them invisible, preventing easy removal. It embeds owner/distributor details, serial numbers and transaction dates. This allows tracing pirated videos back to their source by extracting the watermark information. The system overcomes issues like visible, concentrated watermarks in existing systems.
digital-water-marking-created-by-subrat&rubi
This document discusses digital watermarking techniques. It describes visible and invisible watermarks, and classifications of watermarking including spatial and frequency domain embedding, fragile vs robust watermarks, and blind vs non-blind watermark systems. Parameters for watermarking like transparency, robustness, security and capacity are covered. Applications include digital copyright protection, fingerprinting, medical uses, and authentication. The document concludes that watermarking embeds useful data in multimedia and recent research applies it to 3D objects, with proposed algorithms showing robustness against 70% of attacks.
Watermark
Digital watermarks are embedded signals or patterns inserted into digital media like text, images, or video that carry copyright information. There are various techniques for watermarking different types of media. Watermarking leaves the original file intact while encryption transforms the file contents. Popular watermarking applications include ownership assertion, fingerprinting to trace copies, authentication and integrity verification, content labeling, usage control, and content protection with visible watermarks. Watermarks should be detectable, unambiguous, and robust against attacks. Text watermarking alters spacing, images can modify pixel values in spatial or frequency domains, and checksum techniques embed a checksum in pixel bits. However, early watermarking schemes provided only limited protection against removal or forgery.
Digital Audio Watermarking
This document presents an overview of digital audio watermarking using the Least Significant Bit (LSB) technique. It discusses embedding a watermark image into an audio signal by replacing the LSBs of the audio with the bits of the image. The document outlines the process, including embedding the watermark, extracting the watermark, and presenting simulation results. It also discusses the advantages of LSB being easy to implement and having low quality degradation, but the disadvantages of being less robust and vulnerable to attacks.
Watermarkingppt
This document summarizes a student project on reversible data hiding techniques. The project compares different reversible watermarking methods and proposes a new technique that embeds a secret bitstream into a color image using bisection and square root interpolation. Experimental results showed the embedded and extracted bitstreams had a correlation of 1, indicating no data loss. Future work could improve the algorithm security by using multiple color planes and transformations for watermarking.
Watermarking in-imageprocessing
Full animated slides, produced to give the introductory+advance knowledge about watermaking techniques.
Image authentication techniques based on Image watermarking
This document discusses image authentication techniques using digital watermarking. It defines digital watermarking as a technique for inserting information like a watermark into an image that can later be extracted or detected to protect copyright and ensure tamper resistance. The process involves embedding a watermark during insertion, potential attacks on the watermarked image, and detection of the watermark. Various domains for embedding watermarks are discussed like the spatial domain and transform domains like DCT and DWT. Properties of good watermarks and classifications of watermarks like robust and fragile are also summarized.
Chapter1 2
The document provides an overview of digital watermarking. It defines watermarking as imperceptibly altering a work to embed a message about the work. The document outlines the history of watermarking and discusses its applications, including owner identification, proof of ownership, broadcast monitoring, transaction tracking, and content authentication. It also compares watermarking to other techniques like cryptography and discusses the importance of digital watermarking for copyright protection in the digital age.
Watermark
The document discusses watermarking, including its history and different types. It defines watermarking as a recognizable image or pattern embedded in paper or a digital signal inserted into digital content to carry ownership information. The summary describes visible watermarking, which embeds visible logos or text, and invisible watermarking, which makes imperceptible changes to encode data. It also classifies watermarking as either text-based, image-based, or audio/video-based and discusses example watermarking techniques and applications for copyright protection.
What's hot (20)
Digital watermarking techniques for security applications
Digital watermarking techniques for security applications
Image authentication techniques based on Image watermarking
Image authentication techniques based on Image watermarking
Similar to Thesis Topics on Digital Image Watermarking
Jq3417501753
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Seminar PPT on Crypto Watermarking B.Tech
This document discusses crypto watermarking techniques. Crypto watermarking embeds a secret message (watermark) into multimedia content like images and videos using encryption to provide authentication, ownership verification, and tamper detection. It can be used for applications in medical, military, law enforcement, and e-commerce. Crypto watermarking techniques include symmetric, which uses the same key for encryption and decryption, and asymmetric, which uses public and private keys. Examples of crypto watermarking algorithms in the spatial, frequency, and video domains are described. Crypto watermarking faces challenges balancing imperceptibility, robustness, and security. Future work could improve addressing these challenges.
Digital Image Security using Digital Watermarking
This document discusses digital image watermarking techniques for providing security and copyright protection. It begins with an abstract that outlines digital watermarking as a process to embed information into digital signals like images without degrading quality.
The document then provides an overview of different digital watermarking techniques. It discusses spatial domain techniques that directly embed watermarks in pixel values as well as frequency domain techniques like DCT, DWT and DFT that embed watermarks in transformed image coefficients. Frequency domain techniques provide better robustness against attacks compared to spatial domain.
The document concludes with applications of digital watermarking like copyright protection, source tracking, and content authentication. It provides a comparative analysis of different techniques and their advantages and disadvantages
A Brief Survey on Robust Video Watermarking Techniques
This document provides a survey of robust video watermarking techniques. It begins with an abstract discussing digital watermarking and its role in copyright protection as the growth of multimedia on the internet has led to more copyright issues. The document then reviews various video watermarking methods and factors like robustness, security, and perceptual fidelity. It discusses approaches like spatial domain and transform domain watermarking techniques that use discrete cosine transform, fast Fourier transform, and discrete wavelet transform. The document also provides a table comparing different video watermarking methods from past literature and concludes that watermarking combined with other cryptographic techniques can provide effective copyright protection for video.
A Survey on Video Watermarking Technologies based on Copyright Protection and...
Digital Watermark is class of marker or symbol secretly embedded in a multimedia signal such as Audio, Image or Video. It
is used to identify the ownership of the multimedia signal. Video watermarking is an emerging area for various applications like copy
control broadcast monitoring, video authentication, copyright protection and enhanced video coding. The main objective of this paper
is to present survey and comparisons of various available techniques on video watermarking based on copyright protection and
identification. Comparative study of various technologies gives the significant information about the PSNR, payload, quality factor
and also the various attacks used in video watermarking techniques. The best techniques in various scenarios are discussed in this
paper which will help the research scholars in field of video watermarking.
Ki2417591763
This document summarizes a research paper that proposes a fragile watermarking technique for image authentication using a hierarchical mechanism. The technique embeds watermark data at both the pixel and block levels of an image. At the receiver end, tampered blocks can first be identified using block-level watermarks. Then pixel-level watermarks in untampered blocks are used to precisely locate any tampered pixels. The technique aims to accurately locate tampered regions even if a large area is modified, and also allows perfect restoration of the original watermarked image.
A new robust video watermarking technique using h_264_aac_codec luma componen...
Research paper on my research work in image processing (video watermarking)
(Thesis are also available)
Ah04605234238
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Novel watermarkig scheme with watermark encryption for copyrig protec...
This summarizes a document describing a novel watermarking scheme that provides copyright protection by encrypting the watermark. The proposed method encrypts a compressed input image using the MRC6 encryption algorithm. The encrypted output is then watermarked using rational dither modulation. This produces a watermarked encrypted image. The watermark can be detected in either the encrypted or decrypted domain. The scheme aims to provide secure copyright protection for digital data during transmission over networks. Experimental results showed the watermarked image had high visual clarity and security compared to previous methods.
Novel watermarkig scheme with watermark encryption for copyrig protec...
Novel watermarkig scheme with watermark encryption for copyrig protec...Al musanna College of Technology.,Sultanate of Oman
This summarizes a document describing a novel watermarking scheme that provides copyright protection by encrypting the watermark. The proposed method encrypts a compressed input image using the MRC6 encryption algorithm. The encrypted output is then watermarked using rational dither modulation. This produces a watermarked encrypted image. The watermark can be detected in either the encrypted or decrypted domain. The scheme aims to provide secure copyright protection for digital data during transmission over networks. Experimental results showed the watermarked image had high visual clarity and security compared to previous methods.IRJET- A Review on Colour Image Watermarking based on Wavelet and QR Decompos...
This document summarizes several digital watermarking techniques and applications. It discusses a proposed hybrid watermarking technique that combines redundant discrete wavelet transform with singular value decomposition. It also mentions using Arnold chaotic maps to scramble watermarks for added security. Several other watermarking methods are reviewed, including techniques in the pixel domain and using discrete cosine transform with singular value decomposition. Applications discussed include mobile experiences, biometric authentication, image processing, and cryptography.
An Overview of Visual Cryptography based Video Watermarking Schemes: Techniqu...
Digital communication has seen exponential growth in the past decade.
Consequently, the security of digital data has become a field of extensive research since
piracy and unauthorized use of such data is prevalent because of the ease with which data
can be replicated or tampered. Visual Cryptography (VC) is a special cryptographic
technique where decryption is done by an authorized user by simply overlaying the shares.
Thus, there is no requirement for complex computations unlike normal cryptography.
Though simple for an authorized user, it is equally difficult for an unauthorized user to
attack since the secret message can be deciphered if and only if all the shares are available
to the attacker. The probability of this is negligibly small since one of the shares usually
needs to be registered with a Certified Authority (CA). The procedure is non- intrusive and
does not alter the contents of the host image or video. For this reason, VC has been applied
to image watermarking widely. In case of video watermarking applications, robustness
against different types of attacks like frame attacks, spatial and temporal desynchronization
attacks, statistical analysis and collusion attacks need to be considered. Also creation of
shares for videos requires feature extraction techniques which are different from that of
images. Moreover, as size of video is more, a large secret payload can be used to construct a
share. In this survey paper, the research being carried out globally on VC techniques for
videos, along with their pros and cons have been highlighted. The paper also discusses
challenges in applying VC for video watermarking. Further, a performance comparison
amongst the mentioned schemes is also provided.
50120140504020 2
This document summarizes a research paper that proposes a hybrid digital watermarking technique using Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) for copyright protection of digital images. The technique embeds a watermark into the transformed image domains to make it robust against common image processing attacks while maintaining imperceptibility. Simulation results showed the algorithm had good robustness against attacks and improved results in terms of Peak Signal-to-Noise Ratio and correlation coefficients compared to other techniques. The document provides background on digital watermarking classification and applications for ownership identification, authentication, and tracing illegally distributed copies.
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
IRJET-A study of video watermarking techniques based on energy model
Anchal Gupta,Rimanpal kaur,, "A study of video watermarking techniques based on energy model", International Research Journal of Engineering and Technology (IRJET), Vol2,issue-01 March 2015. p-ISSN:2395-0056, e-ISSN:2395-0072. www.irjet.net
Abstract
Recent years have witnessed rapid development in Digital video watermarking. Security and copyright protection are getting to be imperative issues in media applications and administrations. Video watermarking is relatively a new technology that has been proposed to solve the problem of illegal manipulation and distribution of digital video. It is the process of embedding copyright information in video bit streams. Most of the proposed video watermarking schemes are based on the techniques of image watermarking. But video watermarking introduces some issues not present in image watermarking. In this paper, we perform a survey on available video watermarking techniques and it provides a critical review on various available techniques.
IRJET- A Study on Image Authentication Methods
This document discusses and compares different methods for authenticating digital images, including cryptographic authentication, robust image hashing authentication, and watermarking authentication. Cryptographic authentication uses encryption and decryption but has limitations in localization. Robust image hashing is based on rotation-invariant moments but struggles with large area cropping. Watermarking authentication allows for embedding watermarks for identification and tamper detection but cannot precisely locate tampered regions. Overall, the document concludes that watermarking schemes constructed using chaotic maps provide better security compared to other methods due to chaotic maps' sensitivity to initial conditions.
18 17 jan17 13470 rakesh ahuja revised-version(edit)
The proposed scheme embedded the watermark during the differential pulse code modulation process and extracted through decoding the entropy details. This technique utilize the moving picture expert groups standard (MPEG-2) in which discrete cosine transform coefficients are adjusted from selected instantaneous decoder refresh frames for watermarking purpose. The subsets of frames as candidate I-frames are chosen to achieve better perceptibility and robustness. A secret key based cryptographic technique is used to select the candidate frames. Three more keys are required to extract the watermark whereas one of the key is used to stop the extraction process and the remaining two are used to display the scrambled watermark. The toughness is evaluated by testing spatial and temporal synchronization attacks. High sturdiness is achieved against video specific attacks frequently occurs in the real world. Even a single frame can accommodate thousand of watermark bits which reflect that high watermark capacity can be obtained.
IRJET- Data Leakage Detection using Cloud Computing
1) The document discusses data leakage detection using cloud computing. It aims to protect sensitive data from being shared outside an organization by applying digital watermarks.
2) Digital watermarking involves embedding invisible information into digital content like images, audio, and video. This allows the owner of the data to be identified and authenticity to be proven.
3) There are two main approaches to digital watermarking - spatial domain and frequency domain. Frequency domain techniques are generally more robust against attacks compared to spatial domain techniques. Commonly used frequency transforms include discrete cosine transform, discrete wavelet transform, and singular value decomposition.
Friend MTS Attacks on Subscriber Watermarking Technologies v1.2 (March 2021)
Bitstream modification watermarking embeds a unique watermark either at the CDN edge or client-side by modifying specific video areas. A/B variant watermarking prepares two watermarked video segments and interleaves them at the server or edge to create subscriber-specific patterns. Client-composited watermarking overlays an imperceptible watermark at the client-side. The document analyzes attacks on these technologies and their robustness against monitoring, collusion utilizing multiple devices, and composite collusion attacks. It concludes with key takeaways on the impact of real-world attacks on different watermarking solutions.
IRJET- Survey of Digital Watermarking Techniques and its Application
The document summarizes a survey of digital watermarking techniques and applications. It discusses how digital watermarks can hide messages within digital signals like images and video in an imperceptible way. It then reviews several papers on digital watermarking, covering topics like improving performance based on human visual system characteristics and resisting geometric distortions. The document also outlines key properties of digital watermarking like fidelity, robustness, tamper-resistance, and payload. It categorizes watermarking techniques as either robust or fragile and visible or transparent based on how the watermark is affected by content modification.
Similar to Thesis Topics on Digital Image Watermarking (20)
A Brief Survey on Robust Video Watermarking Techniques
A Brief Survey on Robust Video Watermarking Techniques
A Survey on Video Watermarking Technologies based on Copyright Protection and...
A Survey on Video Watermarking Technologies based on Copyright Protection and...
A new robust video watermarking technique using h_264_aac_codec luma componen...
A new robust video watermarking technique using h_264_aac_codec luma componen...
Novel watermarkig scheme with watermark encryption for copyrig protec...
Novel watermarkig scheme with watermark encryption for copyrig protec...
Novel watermarkig scheme with watermark encryption for copyrig protec...
Novel watermarkig scheme with watermark encryption for copyrig protec...
IRJET- A Review on Colour Image Watermarking based on Wavelet and QR Decompos...
IRJET- A Review on Colour Image Watermarking based on Wavelet and QR Decompos...
An Overview of Visual Cryptography based Video Watermarking Schemes: Techniqu...
An Overview of Visual Cryptography based Video Watermarking Schemes: Techniqu...
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
IRJET-A study of video watermarking techniques based on energy model
IRJET-A study of video watermarking techniques based on energy model
18 17 jan17 13470 rakesh ahuja revised-version(edit)
18 17 jan17 13470 rakesh ahuja revised-version(edit)
IRJET- Data Leakage Detection using Cloud Computing
IRJET- Data Leakage Detection using Cloud Computing
Friend MTS Attacks on Subscriber Watermarking Technologies v1.2 (March 2021)
Friend MTS Attacks on Subscriber Watermarking Technologies v1.2 (March 2021)
IRJET- Survey of Digital Watermarking Techniques and its Application
IRJET- Survey of Digital Watermarking Techniques and its Application
More from Phdtopiccom
Sci Journals Paper Publication Guidance
DISTINCTIVE AREAS IN SCI JOURNALS PAPER
REALISTIC DOMAINS IN SCI JOURNALS PAPER
PRIME SUPPORT FOR SCI JOURNALS PAPER
Thesis for Information Technology Students
SIGNIFICANT TOPICS IN INFORMATION TECHNOLOGY
MOST SUPPORTIVE ELEMENTS FOR TECHNOLOGY
STUDENTS
LATEST RESEARCH DOMAINS IN INFORMATION TECHNOLOGY
Computer Science Projects in Scilab
LATEST FUNCTIONS IN SCILAB FOR BASED PROJECTS
PRIMARY FUNCTIONS IN SCILAB BASED PROJECTS
FORTHCOMING RESEARCH IN SCILAB BASED PROJECTS
Computer Science Mastersproject Ideas
RECENT RESEARCH AREAS FOR MASTER PROJECT
MODERN PROJECT IDEAS IN COMPUTER SCIENCE
TOP MOST FACILITIES FOR MASTER PROJECTS
Communication Thesis With Matlab
This document discusses potential topics for a communication thesis using MATLAB. It lists several major toolboxes and technologies in communication systems that could be modeled, including RF impairment modeling, LDPC decoders, OFDM, MIMO, satellite technologies, Bluetooth, RFID, and Wi-Fi. It also provides examples of modern MATLAB communication thesis topics, such as a wireless chat system between PCs, a weather station watching system, camera location system, industrial alarm and protection systems, and a taxi monitoring system. Students are encouraged to contact the website for more information on developing a communication thesis with MATLAB.
PhD-Consultancy-Services-UK
This document provides information about PhD consultancy services in the UK, reputed journals for paper publication, top 5 programming languages, domains for PhD research, and contact details. It lists reputed journals, top programming languages as Python, C#, Fortran, C++ and Java, and research domains including digital signal processing, pattern recognition, computer vision, medical imaging, and fog computing. Contact information is provided at the bottom for the PhD consultancy services.
phd-research-guidance
This document provides guidance on research for PhD students, outlining major research notions, important points on research guidance, and distinct research fields. It discusses key areas like data mining, automated deployment of Spark clusters, secure data management in data centers, and neuromorphic computing for computer vision. Important guidance points emphasize gaining subject knowledge, confidence, comprehensive supports, and innovative ideas to ensure on-time completion. Distinct research fields mentioned include fog computing, 5G and 6G networks, the Internet of Things, Industry 4.0, OFDM/OFDMA, and data mining. Contact information is provided to learn more.
PhD-Projects-in-Computer-Science
SUPPORTIVE LANGUAGES FOR PHD PROJECTS
PHASES IN COMPUTER SCIENCE PROJECTS
NOVEL RESEARCH DOMAINS IN COMPUTER SCIENCE
PhD-Guidance-and-Works-with-Source-Codes
TOPMOST GUIDANCE ON RESEARCH TOPICS
RESEARCH TOPICS IN PHD GUIDANCE
RESEARCH DOMAINS FOR NETWORKS
PhD-Consultants-in-Bangalore
PROCESS IN WRITING THESIS OF PHD CONSULTANTS
SUPPORTIVE TOOLS FOR NETWORKING
LEADING RESEARCH DOMAINS IN PHD CONSULTANTS
Computer Science Dissertation Projects
RESEARCH AREAS IN ARTIFICIAL INTELLIGENCE
UPPERMOST AREAS IN COMMUNICATION SYSTEMS
PARAMOUNT RESEARCH AREAS IN CLOUD COMPUTING
Network-Simulator-Master-Thesis-in-UK
EMINENT FEATURES IN SOCIAL SENSOR NETWORK
CRUCIAL CHARACTERISTIC OF SENSOR NETWORKING
VITAL APPLICATIONS OF SOCIAL SENSOR NETWORK
Network-Simulator-Master-Thesis-in-Malaysia
MOST IMPORTANT PROTOCOLS IN WIRELESS NETWORK
LEADING PROTOCOLS FOR INTERNET
MAIL PROTOCOLS IN NETWORK SIMULATOR THESIS
5-Cool-Cloud-Computing-Research-Projects
CURRENT RESEARCH IN COOL CLOUD COMPUTING
MAJOR PURPOSE OF TOOLS IN CLOUD COMPUTING
MULTIPLE CLOUD BASED IOT APPLICATIONS
PhD-Thesis-in-Computer-Science-Image-Processing
MATLAB TOOLBOX FOR IMAGE PROCESSING
INNOVATIVE TOPICS IN IMAGE PROCESSING
TOPMOST AREAS IN IMAGE PROCESSING
PhD-Guidance-in-Telecommunication-Engineering
NOVEL IDEAS IN TELECOMMUNICATION
SUPPORTIVE TOOLS IN TELECOMMUNICATION
LATEST NOTIONS IN TELECOMMUNICATION
PhD-Guidance-in-Security
SIGNIFICANT USES OF TOOLS IN SECURITY
MOST IMPORTANT NOTIONS IN SECURITY
NOVEL RESEARCH TOPICS IN SECURITY
PhD-Guidance-in-Routing
This document provides guidance on routing topics for PhD research and lists the most important routing protocols. It outlines foremost topics in routing such as shortest path routing protocols, delay constraint routing, and broadcast/unicast routing. Current routing technologies discussed include segment routing, tri-band WiFi, routing mesh, blockchain, and MU-MIMO. The most important routing protocols listed are AMQP, OSPFv3, EIGRP, RIPv2, and IGRP. Contact information is provided at the end for those seeking additional guidance on PhD topics in routing.
PhD-Guidance-in-PPI
This document discusses tools and applications used in pixels per inch (PPI) research. It lists Audacity, Blender, iPhone6Simulator, and App Inventor as major tools, describing their purposes as multi-track editing, creating animated films, simulating Apple devices, and calculating screen pixel density. Top applications mentioned are for image viewing, fingerprint analysis, biometrics, and density-aware design. The document also outlines biometric technologies used in PPI research, including iris, signature, vein, skin print, hand, and retinal recognition. It provides contact information for the website.
PhD-Guidance-in-Neural-Networks
FRESH TECHNIQUES IN NEURAL NETWORKS
MAJOR APPLICATIONS IN NEURAL NETWORKS
ADVANCED TOPICS IN NEURAL NETWORKS
More from Phdtopiccom (20)
Recently uploaded
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
How to Add Chatter in the odoo 17 ERP Module
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcPollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...National Information Standards Organization (NISO)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
PCOS corelations and management through Ayurveda.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
The Diamonds of 2023-2024 in the IGRA collection
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Introduction to AI for Nonprofits with Tapp Network
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Recently uploaded (20)
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
Thesis Topics on Digital Image Watermarking
- 2. 2 We have enlisted the advance watermarking algorithms based on the digital image watermarking, FOREMOST APPLICATIONS IN WATERMARKING 1 Chaotic encryption for robust and secure key- frames based video watermarking system 2 Embedding multiple watermarks using blind DCT based color watermarking algorithm 3 Parameter measures and techniques for digital watermarking applications 4 A potential solution for multimedia authentication for digital watermarking Bit-plane of Hadamard coefficients with usage of robust image watermarking 5
- 3. 3 KEY NOTES ON DIGITAL IMAGE WATERMARKING Here we have listed down the important algorithms in digital image watermarking, 1 Mesh-bashed watermarking 2 Quantum steganography 3 Reversible watermarking 4 II based watermarking 5 Wavelet-domain watermarking 6 DT-CWT watermarking
- 4. Invisible text watermarking Robust watermarking 4 Embedded watermarking Exploring watermarking Classify in watermarking CATEGORIZATION OF WATERMARKING Hereby we have listed down the categorization of digital image watermarking algorithm, 1 5 2 4 3