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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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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,具有相对较高的压缩率和良好的重建保真度的优点。但是,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,该方法改进了自相似性开发方案。范围和域块根据其DCT较低频率系数分为三类,并且在最佳匹配利用过程中仅计算与范围块具有相同类的域块。实验结果表明,与标准分形编码方案相比,编码时间明显减少,重建图像的PSNR也得到改善。

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