Recursive Block Coding for Image Data Compression

Language: English

Published by Springer, 2011

1461396786 / 9781461396789

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Druck auf Anfrage Neuware - Printed after ordering - Recursive Block Coding, a new image data compression technique that has its roots in noncausal models for 1d and 2d signals, is the subject of this book. The underlying theory provides a multitude of compression algorithms that encompass two course coding, quad tree coding, hybrid coding and so on. Since the noncausal models provide a fundamentally different image representation, they lead to new approaches to many existing algorithms, including useful approaches for asymmetric, progressive, and adaptive coding techniques. On the theoretical front, the basic result shows that a random field (an ensemble of images) can be coded block by block such that the interblock redundancy can be completely removed while the individual blocks are transform coded. On the practical side, the artifact of tiling, a block boundary effect, present in conventional block by block transform coding techniques has been greatly suppressed. This book contains not only a theoretical discussion of the algorithms but also exhaustive simulation and suggested methodologies for ensemble design techniques. Each of the resulting algorithms has been applied to twelve images over a wide range of image data rates and the results are reported using subjective descriptions, photographs, mathematical MSE values, and h-plots, a recently proposed graphical representation showing a high level of agreement with image quality as judged subjectively.…

Seller Inventory # 9781461396789

Title
Recursive Block Coding for Image Data Compression
Author
Paul M. Farrelle
Publisher
Springer
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1461396786
ISBN 13
9781461396789
Item weight
499 grams
Dimensions
235x155x18 mm

AHA-BUCH GmbH

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