1st Edition

Image and Video Processing in the Compressed Domain

By Jayanta Mukhopadhyay Copyright 2011
    302 Pages 16 Color & 86 B/W Illustrations
    by Chapman & Hall

    302 Pages 16 Color & 86 B/W Illustrations
    by Chapman & Hall

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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.

    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.


    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.