Signal Recovery Techniques for Image and Video Compression and Transmission - Image 1

£108.68

Springer Signal Recovery Techniques for Image and Video Compression and Transmission

Name: Signal Recovery Techniques for Image and Video Compression and Transmission
Brand: Springer
Price: 108.68 GBP
Availability: InStock

Graphics & Multimedia

About as cheap as it gets. The only time it was cheaper was 1 month ago.

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Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 144195063X
Category: Books > Subjects > Computing & Internet > Programming > Graphics & Multimedia
Domain: Amazon UK
Release Date: 03 December 2010
Listed Since: 06 July 2010

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Springer Signal Recovery Techniques for Image and Video Compression and Transmission

About as cheap as it gets. The only time it was cheaper was 1 month ago.

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