The document discusses image processing project topics for final year students. It provides a list of over 80 potential IEEE image processing project topics from areas like image restoration, enhancement, segmentation, compression, and more. It also describes the image processing project assistance and guidance that the company provides to students.
BULK IEEE 2014-15 PROJECTS LIST FOR DIGITAL IMAGE PROCESSINGShane Saro
ECRUITMENT SOLUTION provides bulk ieee projects to its regular clients and satisfies all their requirements on time, Also it provides 24/7 supports to all its clients in delivering the resources which is including source code delavery,Documents delivery,Algorithms delivery etc...,ECRUITMENT SOLUTIONS is also having around 100 clinets throughout India and across the World.
Final Year Students Project
Opposite to Sripuram Bus Stop
Back of Rajadeepan Jewellers
Tirunelveli.
Phone:+91 - 8903410319
Mail: finalyearstudentsprojecttvl@gmail.com
web:www.finalyearstudentsproject.in
Matlab Digital Image Processing titles 2014-15 from Brainstorm InnovationBrainstorm Innovation
Brainstorm Innovation is an E-based concern which delivers projects in MATLAB field with domains of Digital Image Processing,Digital Signal Processing,Bio-metrics,Bio-Medical imaging,Communication systems & Audio,Video processing
BULK IEEE 2014-15 PROJECTS LIST FOR DIGITAL IMAGE PROCESSINGShane Saro
ECRUITMENT SOLUTION provides bulk ieee projects to its regular clients and satisfies all their requirements on time, Also it provides 24/7 supports to all its clients in delivering the resources which is including source code delavery,Documents delivery,Algorithms delivery etc...,ECRUITMENT SOLUTIONS is also having around 100 clinets throughout India and across the World.
Final Year Students Project
Opposite to Sripuram Bus Stop
Back of Rajadeepan Jewellers
Tirunelveli.
Phone:+91 - 8903410319
Mail: finalyearstudentsprojecttvl@gmail.com
web:www.finalyearstudentsproject.in
Matlab Digital Image Processing titles 2014-15 from Brainstorm InnovationBrainstorm Innovation
Brainstorm Innovation is an E-based concern which delivers projects in MATLAB field with domains of Digital Image Processing,Digital Signal Processing,Bio-metrics,Bio-Medical imaging,Communication systems & Audio,Video processing
MATLAB Completed IEEE projects list are here. All this listed MATLAB IEEE Projects are 100% completed projects. More Details call: 9884848198 (S3 Infotech IEEE Projects).
We offering Projects for EEE Projects, ECE Projects, CSE Projects, IT Projects for Students. We developing projects in all technologies like Dotnet, Java, MATLAB, VLSI, Embedded systems, NS2 & Hadoop bigdata technologies.
More Details call : +91 9884848198
S3 Infotech IEEE Projects
10/1, Jones Road,
Saidapet,
Chennai-600015
www.s3computes.com
We are from MSR PROJECTS HYD Implementing and providing advanced technologies in the specialization of
1.EMBEDDED SYSTEMS 2. VLSI
3. DSP/ DIP 4.PLC & SCADA
5.POWER ELECTRONICS 6.POWER SYSTEMS
7.JAVA 8.DOT NET
9.CIVIL 10. MECHANICAL
We are providing
Latest IEEE live projects for B.Tech/ M.Tech/ Ph.D/ MBA/ MCA
Paper publishing, Plagiarism check, Paper Extension
Real time scenario: The students will be given the real time experience of preparing their own ideas and papers.
Thanks & Regards,
MSR PROJECTS (SSI Certify company),
Head Office: #105, Gyan Arcade, BEside sheesh mahal theater, Near kanakadurga temple, Ameerpet, HYDERABAD.
E-mail: m.s.r.projects.ieee@gmail.com,
Web: http://msrprojects.weebly.com , facebook.com/m.s.r.project ,
Ring on: +91 9581464142.
Rgb(d) Scene Labeling- features and algorithmsAhmed Taha
Provide a summary for "RGB-(D) Scene Labeling: Features and Algorithms" paper, written by X Ren, L Bo, D Fox - Computer Vision and Pattern Recognition 2012 - ieeexplore.ieee.org
Deconstructing SfM-Net architecture and beyond
"SfM-Net, a geometry-aware neural network for motion estimation in videos that decomposes frame-to-frame pixel motion in terms of scene and object depth, camera motion and 3D object rotations and translations. Given a sequence of frames, SfM-Net predicts depth, segmentation, camera and rigid object motions, converts those into a dense frame-to-frame motion field (optical flow), differentiably warps frames in time to match pixels and back-propagates."
Alternative download:
https://www.dropbox.com/s/aezl7ro8sy2xq7j/sfm_net_v2.pdf?dl=0
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Development and Hardware Implementation of an Efficient Algorithm for Cloud D...sipij
Detecting clouds in satellite imagery is becoming more important with increasing data availability which
are generated by earth observing satellites. Hence, intellectual processing of the enormous amount of data
received by hundreds of earth receiving stations, with specific satellite image oriented approaches,
presents itself as a pressing need. One of the most important steps in previous stages of satellite image
processing is cloud detection. While there are many approaches that compact with different semantic
meaning, there are rarely approaches that compact specifically with cloud and cloud cover detection. In
this paper, the technique presented is the scene based adaptive cloud, cloud cover detection and find the
position with assumption of sun reflection, background varying and scattering are constant. The capability
of the developed system was tested using dedicated satellite images and assessed in terms of cloud
percentage coverage. The system used for this process comprises of Intel(R) Xenon(R) CPU E31245 @
3.30GHz processor along with MATLAB 13 software and DSPC6713 processor along with Code Compose
Studio 3.1.
LiDAR in the Adverse Weather: Dust, Snow, Rain and Fog (2)Yu Huang
Canadian Adverse Driving Conditions Dataset, 2020, 2
Deep multimodal sensor fusion in unseen adverse weather, 2020, 8
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather, 2021, 4
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection, 2021, 7
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather, 2021, 8
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather, 2021, 9
The main focusing of this project is to deliver official files from one room to another room within the floor. It can detect specific room through arrows using image processing. If it is given command to send some office documents in a specific room, the robot will detect the room and will send the to that room. Image processing through OPENCV will be used to process the data image and the image will be acquired from camera attached to the robot.
MATLAB Completed IEEE projects list are here. All this listed MATLAB IEEE Projects are 100% completed projects. More Details call: 9884848198 (S3 Infotech IEEE Projects).
We offering Projects for EEE Projects, ECE Projects, CSE Projects, IT Projects for Students. We developing projects in all technologies like Dotnet, Java, MATLAB, VLSI, Embedded systems, NS2 & Hadoop bigdata technologies.
More Details call : +91 9884848198
S3 Infotech IEEE Projects
10/1, Jones Road,
Saidapet,
Chennai-600015
www.s3computes.com
We are from MSR PROJECTS HYD Implementing and providing advanced technologies in the specialization of
1.EMBEDDED SYSTEMS 2. VLSI
3. DSP/ DIP 4.PLC & SCADA
5.POWER ELECTRONICS 6.POWER SYSTEMS
7.JAVA 8.DOT NET
9.CIVIL 10. MECHANICAL
We are providing
Latest IEEE live projects for B.Tech/ M.Tech/ Ph.D/ MBA/ MCA
Paper publishing, Plagiarism check, Paper Extension
Real time scenario: The students will be given the real time experience of preparing their own ideas and papers.
Thanks & Regards,
MSR PROJECTS (SSI Certify company),
Head Office: #105, Gyan Arcade, BEside sheesh mahal theater, Near kanakadurga temple, Ameerpet, HYDERABAD.
E-mail: m.s.r.projects.ieee@gmail.com,
Web: http://msrprojects.weebly.com , facebook.com/m.s.r.project ,
Ring on: +91 9581464142.
Rgb(d) Scene Labeling- features and algorithmsAhmed Taha
Provide a summary for "RGB-(D) Scene Labeling: Features and Algorithms" paper, written by X Ren, L Bo, D Fox - Computer Vision and Pattern Recognition 2012 - ieeexplore.ieee.org
Deconstructing SfM-Net architecture and beyond
"SfM-Net, a geometry-aware neural network for motion estimation in videos that decomposes frame-to-frame pixel motion in terms of scene and object depth, camera motion and 3D object rotations and translations. Given a sequence of frames, SfM-Net predicts depth, segmentation, camera and rigid object motions, converts those into a dense frame-to-frame motion field (optical flow), differentiably warps frames in time to match pixels and back-propagates."
Alternative download:
https://www.dropbox.com/s/aezl7ro8sy2xq7j/sfm_net_v2.pdf?dl=0
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Development and Hardware Implementation of an Efficient Algorithm for Cloud D...sipij
Detecting clouds in satellite imagery is becoming more important with increasing data availability which
are generated by earth observing satellites. Hence, intellectual processing of the enormous amount of data
received by hundreds of earth receiving stations, with specific satellite image oriented approaches,
presents itself as a pressing need. One of the most important steps in previous stages of satellite image
processing is cloud detection. While there are many approaches that compact with different semantic
meaning, there are rarely approaches that compact specifically with cloud and cloud cover detection. In
this paper, the technique presented is the scene based adaptive cloud, cloud cover detection and find the
position with assumption of sun reflection, background varying and scattering are constant. The capability
of the developed system was tested using dedicated satellite images and assessed in terms of cloud
percentage coverage. The system used for this process comprises of Intel(R) Xenon(R) CPU E31245 @
3.30GHz processor along with MATLAB 13 software and DSPC6713 processor along with Code Compose
Studio 3.1.
LiDAR in the Adverse Weather: Dust, Snow, Rain and Fog (2)Yu Huang
Canadian Adverse Driving Conditions Dataset, 2020, 2
Deep multimodal sensor fusion in unseen adverse weather, 2020, 8
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather, 2021, 4
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection, 2021, 7
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather, 2021, 8
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather, 2021, 9
The main focusing of this project is to deliver official files from one room to another room within the floor. It can detect specific room through arrows using image processing. If it is given command to send some office documents in a specific room, the robot will detect the room and will send the to that room. Image processing through OPENCV will be used to process the data image and the image will be acquired from camera attached to the robot.
Made PowerPoint presentation on QR codes for Advanced Microsoft Computer Applications(which was shown at GTGA) (GA Technology Educators Conference in November 2013). It runs all on its own all a person has to do is start it from the beginning, sit back, and enjoy.
http://qualitymanagementsystem.com/total-quality-management/benefits-of-an-integrated-quality-system/
The first shift in the packaging department reported for work around 7 a.m. After a brief meeting to go over the previous shift’s log, they set about the day’s work. But when the packaging line started running, they knew there was a big problem.
The bags were filling past their normal capacity and then tearing at the sealing station, dispersing powdered material into the air, covering the equipment. Before they could stop the line, at least 50 bags had to be scrapped, the material discarded, and production halted for the rest of the day.
The supervisor immediately called the crew together to find the problem. They found the bags were the wrong size, the equipment’s settings had been changed, and the warning light, which should have signaled a potential problem, was burned out. Frustrated, the supervisor blamed the crew for the disaster and threatened to dock their pay for the cost of the materials.
Smart Educator project based on Image Processing helps teacher to teach with new technology and make things easily accessible and handy with the laser point control
Powerpoint Search Engine has collection of slides related to specific topics. Write the required keyword in the search box and it fetches you the related results.
The project aims at development of efficient segmentation method for the CBIR system. Mean-shift segmentation generates a list of potential objects which are meaningful and then these objects are clustered according to a predefined similarity measure. The method was tested on benchmark data and F-Score of .30 was achieved.
Remotely sensed image segmentation using multiphase level set acmKriti Bajpai
Satellite Imagery is used in various research domains. These images contain major quality issues. However, it can be improvised by image enhancement algorithms in terms of contrast, brightness, feature reduction from noise contents, etc. These algorithms are employed to focus, sharp or smooth image to exhibit and examine the image attributes. Hence, the objective of image enhancement depends on the precise application. The objective of this paper is to provide brief information about the image enhancement techniques; which fetches progressive and optimum results for remote-sensing satellite imagery.
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Vidya Pratishthan’s College of Engineering, Baramati
is going to organize “VPiDEA’12” is a state level
idea presentation which provides a forum for Post
Graduate and Under Graduate students to discuss
and enhance their project ideas. It will also help them
to improve their knowledge, ability of learning new
things and helps in having up-to-date knowledge on
the technology.
For more details visit: www.vpidea.org
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Image processing ieee-projects-ocularsystems.in-
1. Ocular Systems| Image Processing Project Topics
Final Year Projects
Image Processing Project Topics
http://blog.ocularsystems.in/blog
info@ocularsystems.in
Behind Ayush Health Club,
Navjyot Mahila Society, Tambe Nagar,
MIDC-Baramati, Pune, 413 133
Our Branches: Baramati, Pune, Solapur, Ahmed Nagar
Contact No: 09970186685/ 07385043047
2. Ocular Systems| Image Processing Project Topics
IEEE TRANSACTION ON IMAGE PROCESSING
Ocular Systems Provides IEEE 2011 Projects For all Final Year Students. We do assist the
students with Technical Guidance for both the categories.
Category 1 : Students with new project ideas.
Category 2 : Students selecting from our list.
When you register for a project we ensure that the project is implemented to your fullest
satisfaction and you have a thorough understanding of every aspect of the project.
OCULAR SYSTEMS PROVIDES YOU THE LATEST IEEE 2011- IEEE2012
PROJECTSPROJECTS FOR FOLLOWING DEPARTMENT STUDENTS
B.E, B.TECH, M.TECH, M.E, DIPLOMA, MS, BSC, MSC, BCA, MCA, MBA, BBA, PHD,
NS-2, GLOMOSIM, MATLAB, JAVA, .NET,
B.E ( CSE, IT)
B.TECH(CSE, IT)
M.TECH(COMPUTER SCIENCE, SOFTWARE ENGINEERING)
M.E(COMPUTER SCIENCE, SOFTWARE, ENGINEERING)
DIPLOMA (CSE, IT)
We also have training and project, R & D division to serve the students and make them job
oriented professionals
3. Ocular Systems| Image Processing Project Topics
1-D Transforms for the Motion Compensation Residual
A Filtering Approach to Edge Preserving MAP Estimation of Images
A Generalized Unsharp Masking Algorithm
A Geometric Method for Optimal Design of Color Filter Arrays
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
A Linear Programming Approach for Optimal Contrast-Tone Mapping
A Majorize–Minimize Strategy for Subspace Optimization Applied to Image Resto
A Maximum Likelihood Approach to Joint Image Registration and Fusion
A New Hybrid Method for Image Approximation Using the Easy Path Wavelet Tra
A New Scheme for Robust Gradient Vector Estimation in Color Images
A Novel 3-D Color Histogram Equalization Method With Uniform 1-D Gray Scale
Histogram
A Stratified Approach for Camera Calibration Using Spheres
A Uniform Framework for Estimating Illumination Chromaticity, Correspondence,
Specular Reflection
A Variational Model for Histogram Transfer of Color Images
A Variational Model for Segmentation of Overlapping Objects With Additive Inten
Value
Accelerating X-Ray Data Collection Using Pyramid Beam Ray Casting Geometrie
Active learning for Solving the Incomplete Data Problem in Facial Age Classificat
the Furthest Nearest-Neighbor Criterion.
Adaptive Multiwavelet-Based Watermarking Through JPW Masking
Adaptive Sequential Prediction of Multidimensional Signals With Applications to L
Image Coding
An Augmented Lagrangian Approach to the Constrained Optimization Formulation
Imaging Inverse Problems
An Improved Image Compression Algorithm Using Binary Space Partition Scheme
Geometric Wavelets
An Iterative Shrinkage Approach to Total-Variation Image Restoration
An Optimal Data Hiding Scheme With Tree-Based Parity Check
An Orientation Inference Framework for Surface Reconstruction From Unorganize
Clouds
Anisotropic Morphological Filters With Spatially-Variant Structuring Elements Ba
Image-Dependent Gradient Fields
Autofluorescence Removal by Non-Negative Matrix Factorization
Automatic Exact Histogram Specification for Contrast Enhancement and Visual Sy
Based Quantitative Evaluation
Balanced Multifilter Banks for Multiple Description Coding
Balanced Multiwavelets With Interpolatory Property
Blind Deconvolution Using Generalized Cross-Validation Approach to Regulariza
Parameter Estimation
Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization
Boosting Color Feature Selection for Color Face Recognition
4. Ocular Systems| Image Processing Project Topics
Characterization of Electrophotographic Print Artifacts: Banding, Jitter, and Ghost
Classification-Based Adaptive Filtering for Multiframe Blind Image Restoration
Color Extended Visual Cryptography Using Error Diffusion
Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Z
Moments
Comments on “Image Denoising by Sparse 3-D Transform-Domain Collaborative
Compressibility-Aware Media Retargeting With Structure Preserving
Computational Perceptual Features for Texture Representation and Retrieval
Constrained Acquisition of Ink Spreading Curves From Printed Color Images
Contactless and Pose Invariant Biometric Identification Using Hand Surface
Contextual Kernel and Spectral Methods for Learning the Semantics of Images
Contextual Object Localization With Multiple Kernel Nearest Neighbor
Convex Total Variation Denoising of Poisson Fluorescence Confocal Images With
Anisotropic Filtering
Correspondence Lazy Sliding Window Implementation of the Bilateral Filter on Pa
Architectures
Dealing With Parallax in Shape-From-Focus
Denoising-Enhancing Images on Elastic Manifolds
Dictionary Learning for Stereo Image Representation
Diffuse Prior Monotonic Likelihood Ratio Test for Evaluation of Fused Image Qua
Measures
Direct Intermode Selection for H.264 Video Coding Using Phase Correlation
Discretization Error Analysis and Adaptive Meshing Algorithms
for Fluorescence Diffuse Optical Tomography in the Presence of Measurement
Distributed Multiple Description Video Coding on Packet Loss Channels
Efficient Relevance Feedback.
Efficiently Learning a Detection Cascade With Sparse Eigenvectors
Elastic Sequence Correlation for Human Action Analysis
Enhanced Shift and Scale Tolerance for Rotation Invariant Polar Matching With D
Wavelets
Face Recognition by Exploring Information Jointly in Space,Scale and Orientation
Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature U
Uncontrolled Illumination Variation
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous IC
Optimization
FAST Rate Allocation Through Steepest Descent for JPEG2000 Video Transmissio
Fast Sparse Image Reconstruction Using Adaptive Nonlinea Filtering
Fine-Granularity and Spatially Adaptive Regularization for Projectton-Based Imag
Deblurring
Fractal Dimension of Color Fractal Images
From Local Pixel Structure to Global Image Super-Resolution: A New Face Halluc
Framework
From Point to Local Neighborhood: Polyp Detection in CT Colonography Using G
5. Ocular Systems| Image Processing Project Topics
Ring Neighborhoods
From Tiger to Panda: Animal Head Detection
Fuzzy Random Impulse Noise Removal From Color Image Sequences
Geometric Calibration of Lens and Filter Distortions for Multispectral Filter-Whee
Cameras
Geometrically Induced Force Interaction for Three-Dimensional Deformable Mode
Goal-Oriented Rectification of Camera-Based Document Images
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhance
Graph Cuts for Curvature Based Image Denoising
Graph Laplace for Occluded Face Completion and Recognition
Graph Regularized Sparse Coding for Image Representation
HAIRIS: A Method for Automatic Image Registration Through Histogram-Based I
Segmentation
High Capacity Color Barcodes: Per Channel Data Encoding via Orientation Modul
Elliptical Dot Arrays
High Dynamic Range Image Display With Halo and Clipping Prevention
High-quality Reflection Separation using Polarized Images.
High-Resolution Imaging Via Moving Random Exposure and Its Simulation
Human Motion Tracking by Temporal-Spatial Local Gaussian Process Experts
Hybrid No-Reference Natural Image Quality Assessment of Noisy,Blurry, JPEG20
JPEG Images
Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints
Illumination Recovery From Image With Cast Shadows Via Sparse Representation
Image Denoising in Mixed Poisson–Gaussian Noise
IMAGE Resolution Enhancement by Using Discrete and Stationary Wavelet
Decomposition
Image Segmentation Using Fuzzy Region Competition and Spatial/Frequency Info
In Search of Perceptually Salient Groupings
Incremental Training of a Detector Using Online Sparse Eigen decomposition
Information Content Weighting for Perceptual Image Quality Assessment
Interactive Streaming of Stored Multi view Video Using Redundant Frame Structu
Inverse Half toning Based on the Bayesian Theorem
Iterative Shrinkage Approach to Restoration of Optical Imagery
JPEG2000-Based Scalable Interactive Video (JSIV)
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transform
Large Disparity Motion Layer Extraction via Topological Clustering
Light Field Analysis for Modeling Image Formation
Lightweight Detection of Additive Watermarking in the DWT-Domain
Measuring the Quality of Quality Measures
Missing Intensity Interpolation Using a Kernel PCA-Based POCS Algorithm and i
Applications
Multidimensional Filter Bank Signal Reconstruction From Multichannel Acquisitio
6. Ocular Systems| Image Processing Project Topics
Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way
Bayesian Inference Approach With Progressive Observation Modeling
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Natural Image Segmentation Based on Tree Equipartition, Bayesian Flooding and R
Merging
Non rigid Registration of 2-D and 3-D Dynamic Cell Nuclei Images for Improved
Classification of Sub-cellular Particle Motion
Nonlocal Mumford-Shah Regularizers for Color Image Restoration
Nonlocal PDEs-Based Morphology on Weighted Graphs for Image andData Proces
Non-uniform Directional Filter Banks With Arbitrary Frequency Partitioning
No-Reference Blur Assessment of Digital Pictures Based on Multi-feature Classifi
On a Derivative-Free Fan-Beam Reconstruction Formula
On the Selection of Optimal Feature Region Set for Robust Digital Image Waterma
Online Sparse Gaussian Process Regression and Its Applications
Optimal Design of FIR Triplet Halfband Filter Bank and Application in Image Cod
Optimal Image Alignment With Random Projections of Manifolds: Algorithm and
Geometric Analysis
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image
Denoising
Optimizing a Tone Curve for Backward-Compatible High Dynamic Range Image a
Video Compression
Passive Polarimetric Imagery-Based Material Classification Robust to Illumination
Position and Viewpoint
Perceptual Segmentation: Combining Image Segmentation With Object Tagging
Performance Analysis of n-Channel Symmetric FEC-Based Multiple Description C
for OFDM Networks
Practical Bounds on Image Denoising: From Estimation to Information
Proto-Object Based Rate Control for JPEG2000: An Approach to Content-Based S
QR code recongnition based on image processing.
Quality Assessment of Deblocked Images
Random N-Finder (N-FINDR) Endmember Extraction Algorithms for Hyperspectr
Imagery
Random Phase Textures: Theory and Synthesis
Rate Control Scheme for Consistent Video Quality in Scalable Video Code
Real-Time Discriminative Background Subtraction
Reassembly of 2D Fragments in image.
Reference Sharing Mechanism for Watermark Self-Embedding
Regularized Background Adaptation: A Novel Learning Rate Control Scheme for G
Mixture Modeling
Resolution Scalable Image Coding With Reversible Cellular Automata
Robust Principal Component Analysis Based on Maximum Correntropy Criterion
Size-Controllable Region-of-Interest in Scalable Image Representation
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to
7. Ocular Systems| Image Processing Project Topics
Structured Interference
Spatiotemporal Localization and Categorization of Human Actions in Unsegmente
Sequences
Stationary Probability Model for Bitplane Image Coding Through Local Average o
Wavelet Coefficients
Structured Max-Margin Learning for Inter-Related Classifier Training and Multilab
Annotation
Studentized Dynamical System for Robust Object Tracking
Sub-Hexagonal Phase Correlation for Motion Estimation
Subpixel Registration With Gradient Correlation
Text From Corners A Noval Approach to Detect Text and Caption in Videos.
Text String Detection from Natural Scenes by Structure-based Partition and Group
The Roadmaker’s Algorithm for the Discrete Pulse Transform
The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dim
Signals
Tomographic Reconstruction of Gated Data Acquisition Using DFT Basis Function
Topological Well-Composedness and Glamorous Glue: A Digital
Gluing Algorithm for Topologically Constrained Front Propagation
Total Variation Projection With First Order Schemes
Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness
Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorith
D Binary Images
Unequal Protection of Video Data According to Slice Relevance
Uniform Motion Blur in Poissonian Noise: Blur/Noise Tradeoff
Variable Length Open Contour Tracking Using a Deformable Trellis
Variational Bayesian Super Resolution
ViBe A universal background subtraction algorithm for video sequences
Video Tracking Based on Sequential Particle Filtering on Graphs
Window-Level Rate Control for Smooth Picture Quality and Smooth Buffer Occup