Recursive Block Coding for Image Data Compression

Name: Recursive Block Coding for Image Data Compression
Brand: Springer-Verlag New York Inc.
SKU: 9781461396789
Price: 105.41 EUR
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Автор: Paul M. Farrelle

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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Recursive Block Coding, a new image data compression technique that has its roots in noncausal model...

Информация за книгата

Автор

Paul M. Farrelle

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

297

EAN

9781461396789

ISBN

1461396786

Enbook ID

06797415

Издател

Springer-Verlag New York Inc.

Теглоt

499

Размери

155 x 235 x 18

Пълно описание

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.

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