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A DCT-based Fractal Image Compression Method

机译:基于DCT的分形图像压缩方法

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摘要

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.
机译:分形编码是一种潜在的图像压缩方案,其具有相对高的压缩比和良好的重建保真度的优点。然而,分形图像编码的高计算复杂性大大限制了其应用。本文提出了一种基于DCT的分形图像编码方法,其改善了自相似性利用方案。该范围和域块基于其DCT较低频率系数分为三个类,并且在最佳匹配的利用过程中仅计算具有与范围块相同的域的域块。实验结果表明,与标准分形编码方案相比,编码时间显着降低,重建图像的PSNR也得到改善。

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