Signal Recovery Techniques for Image and Video Compression and Transmission

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.

Booknews

Establishes a bridge between the fields of signal recovery and image and video compression, illustrating how techniques such as Bayesian estimation and the theory of projections onto convex sets can be brought to bear on problems in image and video compression and transmission. Addresses recovery of information which is lost due to the quantization process in compressing still images and video using available compression standards, demonstrating that established recovery techniques can be modified and used in these situations, and considers problems of recovery of information lost during the transmission process. Annotation c. by Book News, Inc., Portland, Or.