An Adaptive Fractal Image Compression

In this paper an Adaptive Fractal Image Compression (AFIC) algorithm is proposed to reduce the long time of the Fractal Image Compression (FIC). AFIC worked on; minimizing the complexity and the number of matching operations by reducing both of the range and domain blocks needed in the matching process, for this purpose Zero Mean Intensity Level Fractal Image Compression based on Quadtree partitioning, Variance Factor Range Exclusion, Variance Factor Domain Selection and Domain Pool Reduction techniques is used. This in turn will affect the encoding time, compression ratio and the image quality. The results show that AFIC significantly speeds up the encoding process and achieves a higher compression ratio, with a slight diminution in the quality of the reconstructed image. In comparison with some resent methods, the proposed method spends much less encoding time, get higher compression ratio while the quality of the reconstructed images is almost the same.