基于小波系数块的改进SPIHT算法在噪声信道上的鲁棒图像传输

C. Xiu, Hualiang Zhu
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引用次数: 6

摘要

提出了一种改进的基于小波系数块的分层树集分割(SPIHT)算法,该算法在采用不等错误保护(UEP)方案时更适合于噪声信道上的鲁棒图像传输。根据传统SPIHT编码一次扫描可处理4个小波系数的算法特点,将小波变换系数矩阵划分为相应的系数块,并对每个块采用不同的编码策略。当系数块的最大值小于当前阈值时,只使用1位进行编码,从而减少了因重复编码和对非重要系数提前编码而造成的编码效率损失。仿真结果表明,该算法与UEP相结合,可以在噪声信道上,特别是在低比特率下,提供更好的峰值信噪比(PSNR)性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Modified SPIHT Algorithm Based on Wavelet Coefficient Blocks for Robust Image Transmission over Noisy Channel
A modified set partitioning in hierarchical trees (SPIHT) algorithm based on wavelet coefficient blocks, which is more appropriate to robust image transmission over noisy channels when using unequal error protection (UEP) scheme, is presented. According to the algorithm characteristic of traditional SPIHT coding that scanning once can process four wavelet coefficients, our approach divides the wavelet transform coefficient matrix into corresponding coefficient blocks and encodes every block with different strategies. When the maximum value of the coefficient block is less than the current threshold, only one bit is used for coding, thus to reduce the loss of coding efficiency caused by repeat coding and early coding for non-important coefficients. Simulation results show that the proposed algorithm combined with UEP can provide a better peak signal to noise ratio (PSNR) performance for image transmission over noisy channel, especially at low bit rate.
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