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Recursive Block Coding for Image Data Compression
Paul M. Farrelle
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Description for Recursive Block Coding for Image Data Compression
Paperback. Num Pages: 297 pages, biography. BIC Classification: UML; UYT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 498.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
297
Condition
New
Number of Pages
297
Place of Publication
New York, NY, United States
ISBN
9781461396789
SKU
V9781461396789
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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