Comparing with the linear image restoration algorithms

the image restoration algorithm based on maximum entropy can obtain better performance.However

it has slow convergence rate.To improve the convergence speed of the maximum entropy based image restoration algorithm

we firstly present the aperiodic model of deconvolution

and then a fuzzy inference system is introduced to determine the iterative step size online.Since we adopt a variable step size

the convergence speed is significantly improved.The computer simulation results show that the proposed algorithm for image restoration has a faster convergence speed and yields improved restoration performance.