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Table of contents (9 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Signal Recovery Techniques for Image and Video Compression and Transmission
Authors: Aggelos K. Katsaggelos, Nick P. Galatsanos
DOI: https://doi.org/10.1007/978-1-4757-6514-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8298-0Published: 31 October 1998
Softcover ISBN: 978-1-4419-5063-5Published: 03 December 2010
eBook ISBN: 978-1-4757-6514-4Published: 09 March 2013
Edition Number: 1
Number of Pages: XVI, 302
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Electrical Engineering