Study and Implementation of Entropy Encoding System for Image Compression

Shishir Kumar, S. Singh
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引用次数: 1

Abstract

In this paper a lossless compression scheme is presented. In this scheme we have compared our newly proposed model with lossless predictive code (LPC) and differential pulse code modulation (DPCM) and we have shown how our model is more advantageous than LPC and DPCM. This newly proposed scheme for Huffman coding will achieve higher compression as we have reduced the mean value of the pixel in the error image tremendously as compared to LPC and DPCM. In other words the newly proposed algorithm proves a good means for lossless image compression.
图像压缩熵编码系统的研究与实现
本文提出了一种无损压缩方案。在该方案中,我们将新提出的模型与无损预测码(LPC)和差分脉冲码调制(DPCM)进行了比较,并展示了我们的模型如何比LPC和DPCM更具优势。这种新提出的霍夫曼编码方案将实现更高的压缩,因为与LPC和DPCM相比,我们极大地减少了错误图像中的像素平均值。换句话说,新算法证明了一种无损图像压缩的好方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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