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The Rice coding algorithm achieves high-performance lossless and progressive image compression based on the improving of integer lifting scheme Rice coding algorithm

机译:基于改进整数提升方案稻米编码算法,稻米编码算法实现了高性能无损和渐进图像压缩

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In this paper, a modified algorithm was introduced to improve Rice coding algorithm and researches of image compression with the CDF (2,2) wavelet lifting scheme was made. Our experiments show that the property of the lossless image compression is much better than Huffman, Zip, lossless JPEG, RAR, and a little better than (or equal to) the famous SPIHT. The lossless compression rate is improved about 60.4%, 45%, 26.2%, 16.7%, 0.4% on average. The speed of the encoder is faster about 11.8 times than the SPIHT's and its efficiency in time can be improved by 162%. The speed of the decoder is faster about 12.3 times than that of the SPIHT's and its efficiency in time can be rasied about 148%. This algorithm, instead of largest levels wavelet transform, has high coding efficiency when the wavelet transform levels is larger than 3. For the source model of distributions similar to the Laplacian, it can improve the efficiency of coding and realize the progressive transmit coding and decoding.
机译:本文介绍了一种改进的算法以改善水稻编码算法及其对CDF(2,2)小波提升方案的图像压缩研究。 我们的实验表明,无损图像压缩的财产优于霍夫曼,拉链,无损JPEG,RAR,略高于(或等于)着名的SPIHT。 无损压缩率高于60.4%,45%,26.2%,平均0.4%。 编码器的速度比SPIHT的速度快于11.8倍,并且其及时的效率可以提高162%。 解码器的速度比SPIHT的速度更快,而SPIHT的速度速度快,其及时的效率可以升级约148%。 该算法代替最大电平小波变换,当小波变换水平大于3的时具有高的编码效率。对于类似于拉普拉斯的分布源模型,可以提高编码的效率并实现逐行发射编码和解码 。

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