Multidimensional Signal, Image, and Video Processing and Coding

Multidimensional Signal, Image, and Video Processing and Coding

2nd Edition - May 31, 2011

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  • Author: John Woods
  • eBook ISBN: 9780123814210
  • Hardcover ISBN: 9780123814203

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Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical network coding methods for image and video transmission. There is also coverage of new approaches such as: super-resolution methods, non-local processing, and directional transforms. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview video player for playing .yuv video files on a Windows PC and an illustration of the effect of packet loss on H.264/AVC coded bitstreams. New to this edition: New appendices on random processes, information theory New coverage of image analysis – edge detection, linking, clustering, and segmentation Expanded coverage on image sensing and perception, including color spaces Now summarizes the new MPEG coding standards: scalable video coding (SVC) and multiview video coding (MVC), in addition to coverage of H.264/AVC Updated video processing material including new example on scalable video coding and more material on object- and region-based video coding More on video coding for networks including practical network coding (PNC), highlighting the significant advantages of PNC for both video downloading and streaming New coverage of super-resolution methods for image and video

Key Features

  • Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected
  • New chapters on introductory random processes, information theory, and image enhancement and analysis
  • Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)


R&D engineers, University researchers, graduate students in signal and image processing, computer engineers, web developers, digital cinematographers

Table of Contents

  • Chapter 1. Two-Dimensional Signals and Systems

    1.1 Two-Dimensional Signals

    1.2 2-D Discrete-Space Fourier Transform




    Chapter 2. Sampling in Two Dimensions

    2.1 Sampling Theorem—Rectangular Case

    2.2 Sampling Theorem—General Regular Case

    2.3 Change of Sample Rate

    2.4 Sample-Rate Change—General Case




    Chapter 3. Two-Dimensional Systems and Z-Transforms

    3.1 Linear Spatial or 2-D Systems

    3.2 Z-Transforms

    3.3 Regions of Convergence

    3.4 Some Z-Transform Properties

    3.5 2-D Filter Stability




    Chapter 4. 2-D Discrete-Space Transforms

    4.1 Discrete Fourier Series

    4.2 Discrete Fourier Transform

    2-D Discrete Cosine Transform

    4.4 Subband/Wavelet Transform

    4.5 Fast Transform Algorithms

    4.6 Sectioned Convolution Methods




    Chapter 5. Two-Dimensional Filter Design

    5.1 FIR Filter Design

    5.2 IIR Filter Design

    5.3 Subband/Wavelet Filter Design




    Chapter 6. Image Perception and Sensing

    6.1 Light and Luminance

    6.2 Still Image Visual Properties

    6.3 Time-Variant Human Visual System Properties

    6.4 Color

    6.5 Color Spaces

    6.6 Image Sensors and Displays




    Chapter 7. Image Enhancement and Analysis

    7.1 Simple Image Processing Filters

    7.2 Image Enhancement

    7.3 Image Analysis

    7.4 Object Detection




    Chapter 8. Image Estimation and Restoration

    8.1 Two-Dimensional Random Fields

    8.2 Estimation for Random Fields

    8.3 Two-Dimensional Recursive Estimation

    8.4 Inhomogeneous Gaussian Estimation

    8.5 Estimation in the Subband/Wavelet Domain

    8.6 Bayesian and Maximum a Posteriori Estimation

    8.7 Image Identification and Restoration

    8.8 Non-Bayesian Methods

    8.9 Image Superresolution

    8.10 Color Image Processing




    Appendix: Random Processes

    Chapter 9. Digital Image Compression

    9.1 Introduction

    9.2 Transformation

    9.3 Quantization

    9.4 Entropy Coding

    9.5 DCT Coder

    9.6 SWT Coder

    9.7 JPEG 2000

    9.8 Color Image Coding

    9.9 Directional Transforms

    9.10 Robustness Considerations




    Appendix on Information Theory

    Chapter 10. Three-Dimensional and Spatiotemporal Processing

    10.1 3-D Signals and Systems

    10.2 3-D Sampling and Reconstruction

    10.3 Spatiotemporal Signal Processing

    10.4 Spatiotemporal Markov Models




    Chapter 11. Digital Video Processing

    11.1 Interframe Processing

    11.2 Motion Estimation and Motion Compensation

    11.3 Motion-Compensated Filtering

    11.4 Bayesian Method for Estimating Motion

    11.5 Restoration of Degraded Video and Film

    11.6 Super-Resolution of Video




    Appendix: Digital Video Formats

    Chapter 12. Digital Video Compression

    12.1 Intraframe Coding

    12.2 Interframe Coding

    12.3 Early Interframe Coding Standards

    12.4 Interframe SWT Coders

    12.5 Scalable Video Coders

    12.6 Current Interframe Coding Standards

    12.7 Nonlocal Intraprediction

    12.8 Object-Based Coding

    12.9 Comments on the Sensitivity of Compressed Video




    Chapter 13. Video Transmission over Networks

    13.1 Video on IP Networks

    13.2 Robust SWT Video Coding (Bajić)

    13.3 Error-Resilience Features of H.264/AVC

    13.4 Joint Source–Network Coding


Product details

  • No. of pages: 616
  • Language: English
  • Copyright: © Academic Press 2011
  • Published: May 31, 2011
  • Imprint: Academic Press
  • eBook ISBN: 9780123814210
  • Hardcover ISBN: 9780123814203

About the Author

John Woods

Affiliations and Expertise

Professor, Rensselaer Polytechnic Institute, Troy, NY, USA

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