内存高效的可扩展的基于线的图像编码

E. Ordentlich, D. Taubman, M. Weinberger, G. Seroussi, M. Marcellin
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引用次数: 17

摘要

我们研究了具有内存效率的可扩展图像压缩问题,并在复杂度和编码效率空间之间进行了一些权衡。重点是围绕使用子位平面、扫描因果建模和简化的算术编码器的低复杂度算法。该算法为基于小波的可伸缩图像压缩提供了尽可能低的内存使用,并证明了可伸缩比特流的生成与低内存架构并不兼容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory-efficient scalable line-based image coding
We study the problem of memory-efficient scalable image compression and investigate some tradeoffs in the complexity versus coding efficiency space. The focus is on a low-complexity algorithm centered around the use of sub-bit-planes, scan-causal modeling, and a simplified arithmetic coder. This algorithm approaches the lowest possible memory usage for scalable wavelet-based image compression and demonstrates that the generation of a scalable bit-stream is not incompatible with a low-memory architecture.
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