An algorithm of fractal compression based on irregular region segmentation and gray sort classification

Key words:  irregular region segmentation  pulse coupled neural network (PCNN)  gray sort  fractal compression

Abstract:

Most basic fractal compression classification algorithms are classified by a single feature, and they all involve a huge amount of machine operation in the matching search. An algorithm of fractal compression based on irregular region segmentation and gray sort classification was put forward. In order to reduce the search range, the image blocks were classified according to the gray scale values of the binary images between the original image and the one obtained by dividing the original image with the method of irregular region segmentation. Experiment results show that the algorithm can significantly reduce the coding time without sacrificing the quality of decoding.