基于提升方案的lis -无分类小波图像编码算法

Guowei Tang, G. Gu
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引用次数: 1

摘要

由于大多数小波图像的系数为零,SPIHT算法将不显著像素列表(LIS)划分为A类和B类,并对列表中的每个节点进行分类判断,导致编码器的时间成本增加。本文引入了一种具有人类视觉特性的小波基(V9/3),提升了小波变换,取消了SPIHT算法中LIS的分类过程,将修正后的B类节点处理过程与a类节点处理过程合并,按照空间方向树从子代到子代的顺序对显著系数进行了统一编码。实验结果表明,该算法在保持重构图像视觉效果的同时,有效地提高了编码速度。
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LIS-No-Classification Wavelet Image Coding Algorithm Based on Lifting Scheme
For most coefficients of wavelet image are zero, SPIHT algorithm which divides the list of insignificant pixels(LIS) into type A and type B and carries out classification judgment to each node in the list leads to the time cost increasing to the encoder. This paper introduces a kind of wavelet base(V9/3) with human vision properties and lifting wavelet transform, cancels the classification procedure of LIS in SPIHT algorithm, merges the modified processing procedure of type B node with that of type A node, encodes the significant coefficients universally in accordance with the sequence of the spatial orientation tree from son generation to grandson generation. The experiment results show that the proposed algorithm improve the speed of encoding effectively while the visual effect of the reconstructed images is kept.
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