快速递进小波编码

Henrique S. Malvar
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引用次数: 40

摘要

采用渐进式小波编码器(PWC)可以实现快速高效的图像压缩。与许多以前的小波编码器不同,PWC不依赖于零树或其他基于父子小波关系的排序方案。PWC的结构非常简单,基于两个关键概念:(1)数据无关的重排序和块,(2)通过位平面的自适应Rice编码对每个块进行低复杂度的独立编码。通过这种方式,PWC允许在分辨率和比特率上都可扩展的渐进式图像编码,并具有完全嵌入的比特流。PWC实现了与最先进的SPIHT(分层树中设置分区)编码器相当的速率/失真性能,但具有更好的性能/复杂性比。
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Fast progressive wavelet coding
Fast and efficient image compression can be achieved with the progressive wavelet coder (PWC) introduced. Unlike many previous wavelet coders, PWC does not rely on zerotrees or other ordering schemes based on parent-child wavelet relationships. PWC has a very simple structure, based on two key concepts: (1) data-independent reordering and blocking, and (2) low-complexity independent encoding of each block via adaptive Rice coding of bit planes. In that way, PWC allows for progressive image encoding that is scalable both in resolution and bit rate, with a fully embedded bitstream. PWC achieves a rate/distortion performance that is comparable to that of the state-of-the-art SPIHT (set partitioning in hierarchical trees) coder, but with a better performance/complexity ratio.
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