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

机译:通过对仿射变换的参数使用无损编码进行分形图像压缩

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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.
机译:提出了一种提高分形图像压缩率的方法。通过对分形压缩图像的仿射变换参数应用无损压缩技术,可以提高压缩率。基于修改的区域的霍夫曼及其变体用于此目的。图像的PSNR保持不变。在采用四叉树划分方案的分形图像压缩之间进行了压缩率和时间的比较,与霍夫曼编码及其提出的改进版本相同。所提出的改进的分形图像压缩技术在大多数情况下可提供更好的压缩率,从而保持PSNR不变。但是,所提出的技术的压缩时间比相应技术的压缩时间大大增加。

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