Fractal Image Coding Based on Fisher Classification and Adaptive Threshold
Ding Xuan-hao · Guangxi kexue · 2008
Based on the theory of Partitioned Iterated Function Systems(PIFS,for short)and Fisher's classification,this paper proposes a new adaptive method in fractal image compression.The method changes the MSE threshold linearly,to search the best-match domain block in the same class as range block.Finally,the proposed method enhences largely the compression ratio and reduces the encoding time at the same bit rate,as compared with that of the constant threshold method.Meanwhile,the perceptual quality of the decoded image is better than that of the latter.