Blind Image Restoration Based on Constant Modulus with Averaging and ANFIS
Liyun Su, Hong Ma, Li Zheng, Shenggen Ju · 2007
In this paper, a new approach for blurred noisy image restoration is presented. The blurred noisy image is assumed to be the output of a linear space-invariant system with an unknown point spread function contaminated by an additive noise. The scheme passes the blurred noisy image through a two-dimensional finite impulse response filter whose parameters are updated by the modified constant modulus algorithm with averaging and adaptive neuro- fuzzy inference system. When convergence occurs, the output of the filter is an estimate of the unobserved true image. Experimental results show that the proposed scheme is effective.