Signal Recovery Techniques for Image and Video Compression and Transmission

  • Aggelos K. Katsaggelos
  • Nick P. Galatsanos

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
    Pages 1-34
  3. Ramon Llados-Bernaus, Mark A. Robertson, Robert L. Stevenson
    Pages 35-68
  4. Yongyi Yang, Mungi Choi, Nikolas P. Galatsanos
    Pages 69-97
  5. Sheila S. Hemami, Robert M. Gray
    Pages 99-131
  6. Mark R. Banham, James C. Brailean
    Pages 133-174
  7. Bernd Girod, Niko Färber
    Pages 175-197
  8. Paul Salama, Ness B. Shroff, Edward J. Delp
    Pages 199-233
  9. Susanna Aign
    Pages 235-268
  10. King N. Ngan, C. W. Yap
    Pages 269-297
  11. Back Matter
    Pages 299-301

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.


MPEG-2 Signal Standard Standards bridge coding information network transmission video compression

Authors and affiliations

  • Aggelos K. Katsaggelos
    • 1
  • Nick P. Galatsanos
    • 2
  1. 1.Northwestern UniversityChicagoUSA
  2. 2.Illinois Institute of TechnologyChicagoUSA

Bibliographic information