Image and Video Processing in the Compressed Domain: 1st Edition (Paperback) book cover

Image and Video Processing in the Compressed Domain

1st Edition

By Jayanta Mukhopadhyay

Chapman and Hall/CRC

302 pages | 16 Color Illus. | 86 B/W Illus.

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As more images and videos are becoming available in compressed formats, researchers have begun designing algorithms for different image operations directly in their domains of representation, leading to faster computation and lower buffer requirements. Image and Video Processing in the Compressed Domain presents the fundamentals, properties, and applications of a variety of image transforms used in image and video compression. It illustrates the development of algorithms for processing images and videos in the compressed domain.

Developing concepts from first principles, the book introduces popular image and video compression algorithms, in particular JPEG, JPEG2000, MPEG-2, MPEG-4, and H.264 standards. It also explores compressed domain analysis and performance metrics for comparing algorithms. The author then elucidates the definitions and properties of the discrete Fourier transform (DFT), discrete cosine transform (DCT), integer cosine transform (ICT), and discrete wavelet transform (DWT). In the subsequent chapters, the author discusses core operations, such as image filtering, color enhancement, image resizing, and transcoding of images and videos, that are used in various image and video analysis approaches. He also focuses on other facets of compressed domain analysis, including video editing operations, video indexing, and image and video steganography and watermarking.

With MATLAB® codes available as a download from the CRC Press website, this book takes you through the steps involved in processing and analyzing compressed videos and images. It covers the algorithms, standards, and techniques used for coding images and videos in compressed formats.

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.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Computer Graphics
COMPUTERS / Programming / Games