Fast fractal coding method based on Krawtchouk moments and kernel-induced fuzzy clustering
Ziyi Sun · Journal of Optoelectronics·laser · 2010
There is the contradiction between coding speed and the quality of the decoded image in many fast fractal coding methods based on classification.In this paper,as the Krawtchouk moments are invariant under affine maps and the kernel-induced fuzzy clustering has prominent advantages in dealing with nonlinear problems,both of them are used to fractal coding,and a fast fractal coding method of adaptive classification based on Krawtchouk moments and kernel-induced fuzzy clustering is proposed.Firstly,the Domain blocks are roughly classified according to the variance.Then the kernel-induced fuzzy clustering method is used to finely cluster the Domain blocks according to the Krawtchouk moments.Experimental results show that compared with other fast fractal coding methods based on classification,the proposed method improves the quality of the decoded image,and the fractal coding is significantly accelerated.