利用多子带整数小波分解实现高效的图像编码

Li-bao Zhang, Xianchuan Yu
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引用次数: 4

摘要

整数小波变换和基于整数小波变换的图像编码与传统小波变换相比具有许多优点。但与第一代小波相比,iwt图像的系数幅值动态变化值较小,能量压缩较差。这些降低了基于iwt编码的效率。本文提出了一种基于多子带分解和整数小波变换的静态图像编码器。这些具有较高熵的高频子带可以进行二次分解。实验结果表明,该编码器的有损压缩性能与其他有效的有损压缩方法相比具有相当的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient image coding using multiple subbands integer wavelet decomposition
Integer wavelet transform (IWT) and IWT-based image coding offer many advantages over traditional wavelet. But coefficient magnitudes of the IWT-image have smaller dynamic change value and worse energy compaction than the first generation wavelet. Those reduce efficiency of IWT-based coding. In this paper, we present a new still image coder based on multiple subbands decomposition and IWT (integer wavelet transform). These high frequency subbands with the higher entropy can be decomposed secondly. Experimental results show that the lossy performance of the new coder is quite competitive with other efficient lossy compression methods.
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