一种基于dct的分形图像压缩方法

Chong Fu, Zhi-liang Zhu
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引用次数: 28

摘要

分形编码具有较高的压缩比和较好的重构保真度等优点,是一种很有潜力的图像压缩方案。然而,分形图像编码的高计算复杂度极大地限制了其应用。提出了一种基于dct的分形图像编码方法,改进了自相似性挖掘方案。根据距离块和域块的DCT低频系数将其划分为三类,在最佳匹配挖掘过程中只计算与距离块具有相同类别的域块。实验结果表明,与标准分形编码方案相比,编码时间明显缩短,重构图像的PSNR也有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A DCT-Based Fractal Image Compression Method
Fractal coding is a potential image compression scheme, which has the advantages of relatively high compression ratios and good reconstruction fidelity. However, the high computational complexity of fractal image encoding greatly restricts its application. This paper proposes a DCT-based fractal image coding method, which improves the self-similarities exploiting scheme. The range and domain blocks are divided into three classes based on their DCT lower frequency coefficients, and only the domain blocks with the same class to the range block are calculated during best match exploiting process. Experimental results show that compared with standard fractal coding scheme, the encoding time is significantly reduced and the PSNR of the reconstructed image is also improved.
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