<P>Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.</P>
Signal Recovery Techniques for Image and Video Compression and Transmission
β Scribed by Aggelos K. Katsaggelos, Nick P. Galatsanos (auth.)
- Publisher
- Springer US
- Year
- 1998
- Tongue
- English
- Leaves
- 310
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Signal Recovery Techniques for Image and Video Compression andTransmission 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 andTransmission, 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.
β¦ Table of Contents
Front Matter....Pages i-xvi
Removal of Blocking Artifacts Using a Hierarchical Bayesian Approach....Pages 1-34
A Stochastic Technique for the Removal of Artifacts in Compressed Images and Video....Pages 35-68
Image Recovery from Compressed Video Using Multichannel Regularization....Pages 69-97
Subband Coded Image Reconstruction for Lossy Packet Networks....Pages 99-131
Video Coding Standards: Error Resilience and Concealment....Pages 133-174
Error-Resilient Standard-Compliant Video Coding....Pages 175-197
Error Concealment in Encoded Video Streams....Pages 199-233
Error Concealment for MPEG-2 Video....Pages 235-268
Combined Source-Channel Video Coding....Pages 269-297
Back Matter....Pages 299-301
β¦ Subjects
Image Processing and Computer Vision; Signal, Image and Speech Processing; Electrical Engineering
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