IRJET-A study of video watermarking techniques based on energy modelIRJET Journal
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.
A New Technique to Digital Image Watermarking Using DWT for Real Time Applica...IJERA Editor
Digital watermarking is an essential technique to add hidden copyright notices or secret messages to digital audio, image, or image forms. In this paper we introduce a new approach for digital image watermarking for real time applications. We have successfully implemented the digital watermarking technique on digital images based on 2-level Discrete Wavelet Transform and compared the performance of the proposed method with Level-1 and Level-2 and Level-3 Discrete Wavelet Transform using the parameter peak signal to noise ratio. To make the watermark robust and to preserve visual significant information a 2-Level Discrete wavelet transform used as transformation domain for both secret image and original image. The watermark is embedded in the original image using Alpha blending technique and implemented using Matlab Simulink.
IRJET-A study of video watermarking techniques based on energy modelIRJET Journal
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.
A New Technique to Digital Image Watermarking Using DWT for Real Time Applica...IJERA Editor
Digital watermarking is an essential technique to add hidden copyright notices or secret messages to digital audio, image, or image forms. In this paper we introduce a new approach for digital image watermarking for real time applications. We have successfully implemented the digital watermarking technique on digital images based on 2-level Discrete Wavelet Transform and compared the performance of the proposed method with Level-1 and Level-2 and Level-3 Discrete Wavelet Transform using the parameter peak signal to noise ratio. To make the watermark robust and to preserve visual significant information a 2-Level Discrete wavelet transform used as transformation domain for both secret image and original image. The watermark is embedded in the original image using Alpha blending technique and implemented using Matlab Simulink.
Corrosion Detection Using A.I : A Comparison of Standard Computer Vision Tech...csandit
In this paper we present a comparison between stand
ard computer vision techniques and Deep
Learning approach for automatic metal corrosion (ru
st) detection. For the classic approach, a
classification based on the number of pixels contai
ning specific red components has been
utilized. The code written in Python used OpenCV li
braries to compute and categorize the
images. For the Deep Learning approach, we chose Ca
ffe, a powerful framework developed at
“Berkeley Vision and Learning Center” (BVLC). The
test has been performed by classifying
images and calculating the total accuracy for the t
wo different approaches.
Demo Videos: www.larry-lai.com/tracking.html
A real-time object tracking algorithm is proposed to cope with the variables of appearance changes like translation, zooming, rotation, panning/tilting, occlusion, luminance change, and blur. The proposed tracking scheme includes three steps. First, regional filter is employed to detect the candidate regions of targets. Next, these candidate regions are scaled to an uniform size for feature extraction. Finally, using feature matching to calculate the similarity between an instance and the target, and then store this instance if recognized as the target. We can see that the instance database would contain object's difference appearances as the tracking time going on. In other words, recognition capability will increase while the database become enlarging. To keep high computation performance, an algorithm with database reduction is proposed to limit the size of database. From our experiments, the proposed tracking system can achieve 30 FPS with resolution 1280x720 on an Intel I5 CPU 2.6GHz.
Here is the list of DSP/DIP, Signal Processing and Communication for B.Tech ECE final year students. You can download it here and for any queries call me @ +91 9603999243
AI+ Remote Sensing: Applying Deep Learning to Image Enhancement, Analytics, a...Jui-Hsin (Larry) Lai
A Keynote Speech in DigitalWorld Congress 2021.
Youtube Video https://www.youtube.com/watch?v=FdUyaUJTYLY
In this talk, we introduce our proposed AI+ Remote Sensing techniques from the Research Lab of Ping An Technology. One of the techniques is our deep learning haze removal model which can effectively remove the interference of haze in the satellite images and observe the true ground reflectance. Next, we introduce our super-resolution model which can enhance 4x image details. The SR model has been deployed to the Sentinel-2 satellite imagery and greatly improve its image quality. Last, we introduce our crop recognition system. The system includes a user interface for a user to label a few of training samples, and the proposed crop recognition model can be trained on the fly to be deployed on a broad geo-area immediately. In addition to the techniques, our AI+ Remote Sensing technologies have been supporting the carbon(CO2) emission analysis for Environment, Society, and Government(ESG) Department, flooding and disaster analysis for Smart City Department, and crop field forecast for Investment Department in Ping An Group.
In this talk, we introduce our proposed AI+ Remote Sensing techniques from the Research Lab of Ping An Technology. One of the techniques is our deep learning haze removal model which can effectively remove the interference of haze in the satellite images and observe the true ground reflectance. Next, we introduce our super-resolution model which can enhance 4x image details. The SR model has been deployed to the Sentinel-2 satellite imagery and greatly improve its image quality. Last, we introduce our crop recognition system. The system includes a user interface for a user to label a few of training samples, and the proposed crop recognition model can be trained on the fly to be deployed on a broad geo-area immediately. In addition to the techniques, our AI+ Remote Sensing technologies have been supporting the carbon(CO2) emission analysis for Environment, Society, and Government(ESG) Department, flooding and disaster analysis for Smart City Department, and crop field forecast for Investment Department in Ping An Group.
Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals
Abstract
These days, in every field there is gigantic utilization of computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.
Robust Digital Image-Adaptive Watermarking Using BSS BasedCSCJournals
In a digital watermarking scheme, it is not convenient to carry the original image all the time in order to detect the owner's signature from the watermarked image. Moreover, for those applications that require different watermark for different copies, it is preferred to utilize some kind of watermark-independent algorithm for extraction process i.e. dewatermarking. Watermark embedding is performed in the blue channel, as it is less sensitive to human visual system .This paper proposes a new color image watermarking method ,which adopts Blind Source Separation (BSS) technique for watermark extraction. Single level Discrete Wavelet Transform(DWT) is used for embedding . The novelty of our scheme lies in determining the mixing matrix for BSS model during embedding. The determination of mixing matrix using Quasi-Newton’s (BFGS) technique is based on texture analysis which uses energy as metric. This makes our method image adaptive to embed the watermark into original image so as not to bring about a perceptible change in the marked image. BSS based on Joint diagonalization of the time delayed covariance matrices algorithm is used for the extraction of watermark. The proposed method, undergoing different experiments, has shown its robustness against many attacks including rotation ,low pass filtering, salt n pepper noise addition and compression. The robustness evaluation is also carried out with respect to the spatial domain embedding.
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.
A NOVEL APPROACH FOR IMAGE WATERMARKING USING DCT AND JND TECHNIQUESijiert bestjournal
Today�s world is digital world. Nowadays,in every field there is enormous use of digital contents. Information handled on internet and multimedia netw ork system is in digital form. The copying of digital content without quality loss is not so diff icult. Due to this,there are more chances of copyi ng of such digital information. So,there is great need o f prohibiting such illegal copyright of digital med ia. Digital watermarking is the powerful solution to ad dress this problem. Digital watermarking is the technology in which there is embedding of various t ypes of information in digital content which we have to protect from illegal copying. This embedded information to protect the data is embedded as watermark. This paper introduces two novel techniqu es for image watermarking such as DCT and JND. The DCT based approach adapted to embed waterm arks in DC,low,mid and high frequency components coefficient of DCT. The JND based approa ch gives robust and transparent scheme of watermarking that exploits the �human visual system s� sensitivity to local image characteristics obtained from the spatial domain,improving upon th e content based image watermarking scheme.
Digital watermarking has been proposed as a solution to the problem of copyright protection of
multimedia documents in networked environments. There are two important issues that watermarking
algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for
protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of
robustness and resist distortions due to common image manipulations (such as filtering, compression,
etc.). In this paper, a watermarking algorithm is proposed based on the Discrete Wavelet Transform
(DWT), Fractional Fourier Transform (FrFT) and Singular value decomposition (SVD). Analysis and
experimental results show that the proposed watermarking method performs well in both security and
robustness.
A Blind Multiple Watermarks based on Human Visual Characteristics IJECEIAES
Digital watermarking is an alternative solution to prevent unauthorized duplication, distribution and breach of ownership right. This paper proposes a watermarking scheme for multiple watermarks embedding. The embedding of multiple watermarks use a block-based scheme based on human visual characteristics. A threshold is used to determine the watermark values by modifying first column of the orthogonal U matrix obtained from Singular Value Decomposition (SVD). The tradeoff between normalize crosscorrelation and imperceptibility of watermarked image from quantization steps was used to achieve an optimal threshold value. The results show that our proposed multiple watermarks scheme exhibit robustness against signal processing attacks. The proposed scheme demonstrates that the watermark recovery from chrominance blue was resistant against different types of attacks.
A Survey on Features Combination for Image WatermarkingEditor IJMTER
As the internet users are increasing day by day it is easy to transfer digital data. By this new
problem of data piracy is increasing. For this different methods of watermarking are developed for
protecting the digital data like video, audio, image, etc. Out of these many researcher are working on
image watermarking field from last few decades. This paper focus on the image watermarking features
combination with various techniques which are broadly categorized into spatial and frequency domain.
Many features are studied with their different requirement and functionality. It has been observed that
most of the researcher combines many features for achieving the prior goal of the watermark that is to
embed watermark and extract from the carrier image in presence of different attack.
DIRECTIONAL BASED WATERMARKING SCHEME USING A NOVEL DATA EMBEDDING APPROACH acijjournal
Image watermarking has come to wide use in the recent past. It is by the authentication problems and limitation means that the setting accuracy of the image watermarking operation is minimized. Different types of integration schemes have been proposed in the past to improve efficiency and makes the
embedding resistant against various attacks .Although transformation, spatial domain approaches have been developed PSNR improvements in image artifacts due to the fringes are still to be observed. To improvise the embedding, image artifacts in this paper a forward – based image embedding scheme is proposed.
Corrosion Detection Using A.I : A Comparison of Standard Computer Vision Tech...csandit
In this paper we present a comparison between stand
ard computer vision techniques and Deep
Learning approach for automatic metal corrosion (ru
st) detection. For the classic approach, a
classification based on the number of pixels contai
ning specific red components has been
utilized. The code written in Python used OpenCV li
braries to compute and categorize the
images. For the Deep Learning approach, we chose Ca
ffe, a powerful framework developed at
“Berkeley Vision and Learning Center” (BVLC). The
test has been performed by classifying
images and calculating the total accuracy for the t
wo different approaches.
Demo Videos: www.larry-lai.com/tracking.html
A real-time object tracking algorithm is proposed to cope with the variables of appearance changes like translation, zooming, rotation, panning/tilting, occlusion, luminance change, and blur. The proposed tracking scheme includes three steps. First, regional filter is employed to detect the candidate regions of targets. Next, these candidate regions are scaled to an uniform size for feature extraction. Finally, using feature matching to calculate the similarity between an instance and the target, and then store this instance if recognized as the target. We can see that the instance database would contain object's difference appearances as the tracking time going on. In other words, recognition capability will increase while the database become enlarging. To keep high computation performance, an algorithm with database reduction is proposed to limit the size of database. From our experiments, the proposed tracking system can achieve 30 FPS with resolution 1280x720 on an Intel I5 CPU 2.6GHz.
Here is the list of DSP/DIP, Signal Processing and Communication for B.Tech ECE final year students. You can download it here and for any queries call me @ +91 9603999243
AI+ Remote Sensing: Applying Deep Learning to Image Enhancement, Analytics, a...Jui-Hsin (Larry) Lai
A Keynote Speech in DigitalWorld Congress 2021.
Youtube Video https://www.youtube.com/watch?v=FdUyaUJTYLY
In this talk, we introduce our proposed AI+ Remote Sensing techniques from the Research Lab of Ping An Technology. One of the techniques is our deep learning haze removal model which can effectively remove the interference of haze in the satellite images and observe the true ground reflectance. Next, we introduce our super-resolution model which can enhance 4x image details. The SR model has been deployed to the Sentinel-2 satellite imagery and greatly improve its image quality. Last, we introduce our crop recognition system. The system includes a user interface for a user to label a few of training samples, and the proposed crop recognition model can be trained on the fly to be deployed on a broad geo-area immediately. In addition to the techniques, our AI+ Remote Sensing technologies have been supporting the carbon(CO2) emission analysis for Environment, Society, and Government(ESG) Department, flooding and disaster analysis for Smart City Department, and crop field forecast for Investment Department in Ping An Group.
In this talk, we introduce our proposed AI+ Remote Sensing techniques from the Research Lab of Ping An Technology. One of the techniques is our deep learning haze removal model which can effectively remove the interference of haze in the satellite images and observe the true ground reflectance. Next, we introduce our super-resolution model which can enhance 4x image details. The SR model has been deployed to the Sentinel-2 satellite imagery and greatly improve its image quality. Last, we introduce our crop recognition system. The system includes a user interface for a user to label a few of training samples, and the proposed crop recognition model can be trained on the fly to be deployed on a broad geo-area immediately. In addition to the techniques, our AI+ Remote Sensing technologies have been supporting the carbon(CO2) emission analysis for Environment, Society, and Government(ESG) Department, flooding and disaster analysis for Smart City Department, and crop field forecast for Investment Department in Ping An Group.
Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals
Abstract
These days, in every field there is gigantic utilization of computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.
Robust Digital Image-Adaptive Watermarking Using BSS BasedCSCJournals
In a digital watermarking scheme, it is not convenient to carry the original image all the time in order to detect the owner's signature from the watermarked image. Moreover, for those applications that require different watermark for different copies, it is preferred to utilize some kind of watermark-independent algorithm for extraction process i.e. dewatermarking. Watermark embedding is performed in the blue channel, as it is less sensitive to human visual system .This paper proposes a new color image watermarking method ,which adopts Blind Source Separation (BSS) technique for watermark extraction. Single level Discrete Wavelet Transform(DWT) is used for embedding . The novelty of our scheme lies in determining the mixing matrix for BSS model during embedding. The determination of mixing matrix using Quasi-Newton’s (BFGS) technique is based on texture analysis which uses energy as metric. This makes our method image adaptive to embed the watermark into original image so as not to bring about a perceptible change in the marked image. BSS based on Joint diagonalization of the time delayed covariance matrices algorithm is used for the extraction of watermark. The proposed method, undergoing different experiments, has shown its robustness against many attacks including rotation ,low pass filtering, salt n pepper noise addition and compression. The robustness evaluation is also carried out with respect to the spatial domain embedding.
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.
A NOVEL APPROACH FOR IMAGE WATERMARKING USING DCT AND JND TECHNIQUESijiert bestjournal
Today�s world is digital world. Nowadays,in every field there is enormous use of digital contents. Information handled on internet and multimedia netw ork system is in digital form. The copying of digital content without quality loss is not so diff icult. Due to this,there are more chances of copyi ng of such digital information. So,there is great need o f prohibiting such illegal copyright of digital med ia. Digital watermarking is the powerful solution to ad dress this problem. Digital watermarking is the technology in which there is embedding of various t ypes of information in digital content which we have to protect from illegal copying. This embedded information to protect the data is embedded as watermark. This paper introduces two novel techniqu es for image watermarking such as DCT and JND. The DCT based approach adapted to embed waterm arks in DC,low,mid and high frequency components coefficient of DCT. The JND based approa ch gives robust and transparent scheme of watermarking that exploits the �human visual system s� sensitivity to local image characteristics obtained from the spatial domain,improving upon th e content based image watermarking scheme.
Digital watermarking has been proposed as a solution to the problem of copyright protection of
multimedia documents in networked environments. There are two important issues that watermarking
algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for
protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of
robustness and resist distortions due to common image manipulations (such as filtering, compression,
etc.). In this paper, a watermarking algorithm is proposed based on the Discrete Wavelet Transform
(DWT), Fractional Fourier Transform (FrFT) and Singular value decomposition (SVD). Analysis and
experimental results show that the proposed watermarking method performs well in both security and
robustness.
A Blind Multiple Watermarks based on Human Visual Characteristics IJECEIAES
Digital watermarking is an alternative solution to prevent unauthorized duplication, distribution and breach of ownership right. This paper proposes a watermarking scheme for multiple watermarks embedding. The embedding of multiple watermarks use a block-based scheme based on human visual characteristics. A threshold is used to determine the watermark values by modifying first column of the orthogonal U matrix obtained from Singular Value Decomposition (SVD). The tradeoff between normalize crosscorrelation and imperceptibility of watermarked image from quantization steps was used to achieve an optimal threshold value. The results show that our proposed multiple watermarks scheme exhibit robustness against signal processing attacks. The proposed scheme demonstrates that the watermark recovery from chrominance blue was resistant against different types of attacks.
A Survey on Features Combination for Image WatermarkingEditor IJMTER
As the internet users are increasing day by day it is easy to transfer digital data. By this new
problem of data piracy is increasing. For this different methods of watermarking are developed for
protecting the digital data like video, audio, image, etc. Out of these many researcher are working on
image watermarking field from last few decades. This paper focus on the image watermarking features
combination with various techniques which are broadly categorized into spatial and frequency domain.
Many features are studied with their different requirement and functionality. It has been observed that
most of the researcher combines many features for achieving the prior goal of the watermark that is to
embed watermark and extract from the carrier image in presence of different attack.
DIRECTIONAL BASED WATERMARKING SCHEME USING A NOVEL DATA EMBEDDING APPROACH acijjournal
Image watermarking has come to wide use in the recent past. It is by the authentication problems and limitation means that the setting accuracy of the image watermarking operation is minimized. Different types of integration schemes have been proposed in the past to improve efficiency and makes the
embedding resistant against various attacks .Although transformation, spatial domain approaches have been developed PSNR improvements in image artifacts due to the fringes are still to be observed. To improvise the embedding, image artifacts in this paper a forward – based image embedding scheme is proposed.
The embedding of a digital signature, or tag data is carried out in the frequency domain. The
high frequency varieties are chosen by any LH and HL in the wavelet domain which are to be
applicable in DCT. Coefficients are changed mid-frequency DCT coefficients such transactions by a
low frequency of the watermark to be embedded. Watermark can be recovered from the video by
selecting a random watermark of any reference framework. The proposed techniques are more
secure, robust and are efficient due to the use of static DCT. Watermark techniques uses a bands HL
and LH for adding watermark where the movement does not impact the quality the extracted
watermark until if the video displays for different types of malware attacks.
In this work we have taken three video watermarking techniques i.e. BIT GET (spatial),
DWT, DCT and one video formats ie.MPEG video to perform a comparative analysis of different
techniques using single video formats, to obtain the best performing technique for video
watermarking. Such that to increase robustness of the video and decrease the embedding time
here it introduces an efficient multi-resolution watermarking methodology for copyright protection of digital images. By adapting the watermark signal to the wavelet coefficients, the proposed method is highly image adaptive and the watermark signal can be strengthen in the most significant parts of the image. As this property also increases the watermark visibility, usage of the human visual system is incorporated to prevent perceptual visibility of embedded watermark signal. Experimental results show that the proposed system preserves the image quality and is vulnerable against most common image processing distortions. Furthermore, the hierarchical nature of wavelet transform allows for detection of watermark at various resolutions, resulting in reduction of the computational load needed for watermark detection based on the noise level. The performance of the proposed system is shown to be superior to that of other available schemes reported in the literature.
Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals
computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
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Image Watermarking in Spatial Domain Using QIM and Genetic Algorithmijsrd.com
Digital watermarking is one of the proposed solutions for copyright protection of multimedia data. A watermark is a form of image or text that is impressed onto paper, which provides evidence of its authenticity. A digital watermark is digital data embedded in some host document so as to later prove the ownership of the document. Digital image watermarking refers to digital data embedding in images. Robust image watermarking systems are required so that watermarked images can resist geometric attacks in addition to common image processing tasks, such as JPEG compression. Least Significant Bit (LSB) watermarking, is one of the most traditional method of watermarking which changes the LSB of individual pixels in correlation with the watermark. However, pure LSB scheme provides a fragile watermarking technique which is not acceptable in practical applications. Also, robustness against geometric attacks, such as rotation, scaling and translation, still remains one of the most challenging research topics in pixel based image watermarking. In this paper, a new pixel-based watermarking system is proposed, in which a binary logo is embedded, a bit per pixel, in the pixel domain of an image. The LSB based watermarking is then quantized using QIM, augmented with genetic algorithm to produce a watermarking scheme which is highly robust against geometrical attacks.
IRJET-Security Based Data Transfer and Privacy Storage through Watermark Dete...IRJET Journal
Gowtham.T ,Pradeep Kumar.G " Security Based Data Transfer and Privacy Storage through Watermark Detection ", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net .published by Fast Track Publications
Abstract
Digital watermarking has been proposed as a technology to ensure copyright protection by embedding an imperceptible, yet detectable signal in visual multimedia content such as images or video. In every field key aspect is the security Privacy is a critical issue when the data owners outsource data storage or processing to a third party computing service. Several attempts has been made for increasing the security related works and avoidance of data loss. Existing system had attain its solution up to its level where it can be further able to attain the parameter refinement. In this paper improvising factor been made on the successive compressive sensing reconstruction part and Peak Signal-to-Noise Ratio (PSNR).Another consideration factor is to increase (CS) rate through de-emphasize the effect of predictive variables that become uncorrelated with the measurement data which eliminates the need of (CS) reconstruction.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.