Non-Exhaustive Search Method for Fractal Image Compression

Heba Abedellatif, T. Taha, R. El-Shanawany, F. El-Samie, O. Zahran
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Abstract

Encoding images based on self-similarity property is one of the essential coding methods used for texture and natural image compression. The two important considerations of fractal compression are higher compression ratio and quality preservation, but this technique faces a large encoding time, each range block must have a well-matched contracted domain block from a huge pool of blocks, which needs a large search time. To optimize the searching time required for the encoding process with improvements of both fidelity and compression ratio, we construct a flexible domain pool encoder based on image segmentation techniques combined with fractal coding. A comparison result between recent FIC algorithms and the proposed one is introduced.
分形图像压缩的非穷举搜索方法
基于自相似特性的图像编码是纹理和自然图像压缩的基本编码方法之一。分形压缩的两个重要考虑因素是更高的压缩比和质量保持,但该技术面临着较大的编码时间,每个范围块必须从巨大的块池中得到一个匹配良好的收缩域块,这需要较大的搜索时间。为了优化编码过程的搜索时间,同时提高保真度和压缩比,我们构建了一种基于图像分割技术和分形编码相结合的灵活域池编码器。介绍了最近几种FIC算法与本文提出的算法的比较结果。
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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