基于局部方差和DCT变换的混合分形图像编码算法

分形图像编码技术是一种很有发展前途的新型图像编码技术，相对于已有的其它图像编码算法，分形图像编码算法能够在取得高压缩率的前提下，较好地保持解码图像的质量。本文根据图像内部的图像子块特征，提出了一种基于局部方差和DCT变换的混合分形图像编码算法，该算法在大幅提高分形编码速度的同时，很好地改善了解码图像的质量，进一步增进了分形图像编码的实用性。实验结果表明，混合编码算法的编码时间与方差算法的编码时间相当，解码图像的质量甚至好于基本分形图像编码算法。

Combined Fractal Image Compression Based on DCT and Variance

The fractal image compression is a promising technology.In contrast with other compression methods,frac- tal image compression can obtain good decoding quality with high compression ratio.This paper proposes a combined fractal image compression algorithm based on DCT and variance,and the novel algorithm obtains good quality of the decoded images and need much less time than the baseline fractal algorithm.Experimental results show that the pro- posed algorithm has an excellent performance.