Clustering method of fractal image coding based on self-similarity
Zhu Ping-fu · Jisuanji gongcheng yu sheji · 2008
Self-similarity is the important characters of fractal theory,and applied to the fractal image coding widely.Clustering method means grouped all the data together,data in the same class has higher similarity.A method that estimates image’s self-similarity is pre-sented and the self-similarity coefficient of image’s self-similarity is defined through studying the self-similarity model of image.As combining the self-similarity coefficient and clustering algorithm,the fractal encoding of image is developed.Experimental results indicate that this method accelerates fractal image encoding,and not reduces the quality of reconstruct image.