| 书目名称 | Recursive Block Coding for Image Data Compression | | 编辑 | Paul Michael Farrelle | | 视频video | | | 图书封面 |  | | 描述 | 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 | | 出版日期 | Book 1990 | | 关键词 | algorithms; data compression; simulation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-9676-5 | | isbn_softcover | 978-1-4613-9678-9 | | isbn_ebook | 978-1-4613-9676-5 | | copyright | Springer-Verlag New York Inc. 1990 |
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发表于 2025-3-21 16:41:26
