A Fast Method for Fractal Coding Based on Adaptive Classification
基于自适应分类的快速分形编码方法

Long coding time is the main problem in fractal image compression at present,to which classification of image blocks is an important and efficient solution.However,there is an contradiction between coding speed and image quality in most classification methods.Aiming at the contradiction we first give out the guide lines of the performance for classification methods,hence propose a technique called "Adaptive Classification",which is then used in the classification by mass center combined with satisfied match,thus obtain a fast method for fractal coding.Experimental results indicate that at the same compression ratio,the proposed method improves the speed of fractal coding and the quality of decoded image,in contrast with the original uniform classification.