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Image and Video Processing in the Compressed Domain


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Table of Contents

Image and Video Compression: An Overview
Compression: Generic Approaches
Motivation for Processing in the Compressed Domain
Overview of Different Image and Video Compression Techniques and Standards
Image Compression Techniques
Video Compression Techniques
Examples of a Few Operations in the Compressed Domain
Issues and Performance Measures

Image Transforms
Orthogonal Expansion of a Function
Transforms of Discrete Functions
Transforms in 2-D Space

Image Filtering
Linear Shift Invariant (LSI) Systems
Discrete LSI Systems
Filtering a Finite Length Sequence
Block Filtering
Filtering 2-D Images
Application of Filtering

Color Processing
Color Representation
Color Space
Processing Colors in the Compressed Domain
Color Saturation and Desaturation
Color Constancy
Color Enhancement

Image Resizing
Image Halving and Image Doubling in the Compressed Domain
Resizing with Integral Factors
Resizing with Arbitrary Factors
Hybrid Resizing

Inter Ttransforms Conversions
Image Transcoding: JPEG2000 to JPEG
Video Downscaling
Frame Skipping
Video Transcoding
Error Resilient Transcoding

Image and Video Analysis
Image and Video Editing
Object Recognition
Image Registration
Digital Watermarking
Image and Video Indexing



A Summary appears at the end of each chapter.

About the Author

Jayanta Mukhopadhyay is a professor and head of the Department of Computer Science and Engineering and the School of Information Technology at the Indian Institute of Technology in Kharagpur. He has held visiting positions at the University of California-Santa Barbara, the University of Southern California, and the National University of Singapore. He was also a Humboldt Research Fellow at the Technical University of Munich in 2002. Dr. Mukherjee is a senior member of the IEEE and a fellow of the Indian National Academy of Engineering. His research interests encompass image processing, pattern recognition, computer graphics, multimedia systems, and medical informatics.

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