Overview

This text aims to establish 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. In the late 1990s 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 how these techniques can be brought to bear on the problems of image and video compression and transmission.

Full Product Details

Author:   Aggelos Katsaggelos ,  Nick Galatsanos
Publisher:   Kluwer Academic Publishers
Imprint:   Kluwer Academic Publishers
Edition:   1998 ed.
Dimensions:   Width: 15.60cm , Height: 1.90cm , Length: 23.40cm
Weight:   1.390kg
ISBN:  

9780792382980

ISBN 10:   0792382986
Pages:   302
Publication Date:   31 October 1998
Audience:   Professional and scholarly ,  General/trade ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface. 1. Removal of Blocking Artifacts Using a Hierarchical Bayesian Approach; R. Molina, et al. 2. A Stochastic Technique for the Removal of Artifacts in Compressed Images and Video; R. Llados-Bernaus, et al. 3. Image Recovery from Compressed Video Using Multichannel Regularization; Yongyi Yang, et al. 4. Subband Coded Image Reconstruction for Lossy Packet Networks; S.S. Hemami, R.M. Gray. 5. Video Coding Standards: Error Resilience and Concealment; M.R. Banham, J.C. Brailean. 6. Error-Resilient Standard-Compliant Video Coding; B. Girod, N. Farber. 7. Error Concealment in Encoded Video Streams; P. Salama, et al. 8. Error Concealment for MPEG-2 Video; S. Aign. 9. Combined Source-Channel Video Coding; K.N. Ngan, C.W. Yap. Index.

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