Fast Fractal Image Compression Using Fuzzy Classification

To overcome the long encoding time consuming problem of the existing fractal image compression methods, this paper presents an improved image blocks classification method. The classification features are six parameters of edge image blocks, including the number of edge pixels, the proportion between conjoint edge pixels and all edge pixels, means and variances of horizontal coordinates and vertical coordinates of edge pixels. And a fuzzy pattern classifier is utilized to classify the original image blocks. The experiments results show the validity of the presented approach in accelerating fractal encoding process and in holding the quality of the decoding image.