小波变换图像编码的逐次逼近量化与广义译码

Christopher F. Barnes, E. J. Holder
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引用次数: 8

摘要

介绍了一种连续逼近标量量化编码器结构和直接和解码器结构的新组合。编码器结构是一个多层自由结构,对应于传统的均匀标量量化器。解码器结构为多级直和结构。均匀量化编码器结构与源输出的动态范围相匹配。针对源概率密度函数和均匀量化编码器的固定分割,对解码器直和结构进行了联合优化。编码器产生的比特流既可以用标准均匀量化解码器解码,也可以用所描述的广义非均匀直和解码器解码。对具有标准解码器和广义解码器的逐次逼近多级标量量化器进行了图像小波变换系数的测试。对于实值小波系数的1到8位表示,与标准编码相比,广义编码给出了大约0/spl sim/ 7db的改进
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Successive approximation quantization with generalized decoding for wavelet transform image coding
A novel combination of a successive approximation scalar quantizer encoder structure and a direct sum decoder structure is introduced. The encoder structure is a multiple level free structure that corresponds to a conventional uniform scalar quantizer. The decoder structure is a multiple stage direct sum structure. The uniform quantizer encoder structure is matched to the dynamic range of the source output. The decoder direct sum structure is jointly optimized for the source probability density function and the fixed partition of the uniform quantizer encoder. The bit stream generated by the encoder can be decoded either by the standard uniform quantizer decoder, or by the generalized nonuniform direct sum decoder described. Successive approximation multiple stage scalar quantizers with both standard and generalized decoders are tested on image wavelet transform coefficients. The generalized codes give approximately 0/spl sim/7 dB improvements over standard codes for one to eight bit representations of real-valued wavelet coefficients.<>
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