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Signal Recovery Techniques for Image and Video Compression and Transmission

  • Book
  • © 1998

Overview

Authors:
  1. Aggelos K. Katsaggelos

    1. Northwestern University, Chicago, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Nick P. Galatsanos

    1. Illinois Institute of Technology, Chicago, USA

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Removal of Blocking Artifacts Using a Hierarchical Bayesian Approach

    • Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
    Pages 1-34

  3. A Stochastic Technique for the Removal of Artifacts in Compressed Images and Video

    • Ramon Llados-Bernaus, Mark A. Robertson, Robert L. Stevenson
    Pages 35-68

  4. Image Recovery from Compressed Video Using Multichannel Regularization

    • Yongyi Yang, Mungi Choi, Nikolas P. Galatsanos
    Pages 69-97

  5. Subband Coded Image Reconstruction for Lossy Packet Networks

    • Sheila S. Hemami, Robert M. Gray
    Pages 99-131

  6. Video Coding Standards: Error Resilience and Concealment

    • Mark R. Banham, James C. Brailean
    Pages 133-174

  7. Error-Resilient Standard-Compliant Video Coding

    • Bernd Girod, Niko Färber
    Pages 175-197

  8. Error Concealment in Encoded Video Streams

    • Paul Salama, Ness B. Shroff, Edward J. Delp
    Pages 199-233

  9. Error Concealment for MPEG-2 Video

    • Susanna Aign
    Pages 235-268

  10. Combined Source-Channel Video Coding

    • King N. Ngan, C. W. Yap
    Pages 269-297

  11. Back Matter

    Pages 299-301
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Keywords

About this book

Signal Recovery Techniques for Image and Video Compression and Transmission establishes a bridge between the fields of signal recovery and image and video compression. Traditionally these fields have developed separately because the problems they examined were regarded as very different, and the techniques used appear unrelated. Recently, though, there is growing consent among the research community that the two fields are quite closely related. Indeed, in both fields the objective is to reconstruct the best possible signal from limited information.
The field of signal recovery, which is relatively mature, has long been associated with a wealth of powerful mathematical techniques such as Bayesian estimation and the theory of projects onto convex sets (to name just two). This book illustrates for the first time in a complete volume how these techniques can be brought to bear on the very important problems of image and video compression and transmission.
Signal Recovery Techniques for Image and Video Compression and Transmission, which is written by leading practitioners in both fields, is one of the first references that addresses this approach and serves as an excellent information source for both researchers and practicing engineers.

Authors and Affiliations

  • Northwestern University, Chicago, USA

    Aggelos K. Katsaggelos

  • Illinois Institute of Technology, Chicago, USA

    Nick P. Galatsanos

Bibliographic Information

  • Book Title: Signal Recovery Techniques for Image and Video Compression and Transmission

  • Authors: Aggelos K. Katsaggelos, Nick P. Galatsanos

  • DOI: https://doi.org/10.1007/978-1-4757-6514-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1998

  • Hardcover ISBN: 978-0-7923-8298-0Published: 31 October 1998

  • Softcover ISBN: 978-1-4419-5063-5Published: 03 December 2010

  • eBook ISBN: 978-1-4757-6514-4Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: XVI, 302

  • Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Electrical Engineering

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