Fractal image compression by using loss-less encoding on the parameters of affine transforms

U. Nandi, J. K. Mandal
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引用次数: 6

Abstract

A way of improvement of compression ratio of fractal image compression is proposed in this paper. The improvement of compression rates is done by applying the lossless compression techniques on the parameters of the affine transformations of the fractal compressed images. The Modified Region Based Huffman and its variant are used for this purpose. The PSNR of images are remained same. The comparison of the compression ratio and time are done between fractal image compression with quardtree partitioning schemes, the same with Huffman coding and its proposed improved versions. The proposed improved fractal image compression techniques offer better compression rates most of the times keeping the PSNRs unchanged. But, the compression time of proposed techniques are significantly increased than its counterparts.
对仿射变换参数进行无损编码的分形图像压缩
提出了一种提高分形图像压缩比的方法。通过对分形压缩图像的仿射变换参数进行无损压缩,提高了压缩率。改进的基于区域的霍夫曼及其变体用于此目的。图像的PSNR保持不变。比较了四叉树分割分形图像压缩、霍夫曼编码及其改进方案的压缩比和压缩时间。所提出的改进的分形图像压缩技术在保持psnr不变的情况下,在大多数情况下提供了更好的压缩率。但是,所提技术的压缩时间明显长于其他技术。
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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