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Anti-Pseudo-Gray Coding for VQ Encoded Images over Noisy Channels

机译:噪声通道上用于VQ编码图像的反伪灰色编码

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摘要

In this paper, an improved VQ index reassignment algorithm is proposed to reduce the block degradation of VQ encoded images caused by noisy channels. By reassigning the indices of a VQ codebook, the VQ-compressed images can be transmitted through a noisy channel while preserving the quality of reconstructed VQ images. Pseudo-Gray coding (PGC) and anti-Gray coding (AGC) are two famous index reassignment schemes. By combining the virtues of PGC and AGC skillfully, a novel VQ reassignment algorithm is proposed. Experimental results show that the proposed algorithm outperforms AGC and PGC. Additionally, the computational complexity of index reassignment in the proposed algorithm is reduced significantly
机译:本文提出了一种改进的VQ索引重新分配算法,以减少由噪声通道引起的VQ编码图像的块降级。通过重新分配VQ码本的索引,可以在保持重建的VQ图像质量的同时,通过嘈杂的通道传输VQ压缩图像。伪灰色编码(PGC)和反灰色编码(AGC)是两个著名的索引重新分配方案。通过巧妙地结合PGC和AGC的优点,提出了一种新颖的VQ重新分配算法。实验结果表明,该算法优于AGC和PGC。此外,所提出算法中索引重新分配的计算复杂度大大降低

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