PSO based blind deconvolution technique of image restoration using cepstrum domain of motion blur

Abstract

In this paper, blind deconvolution technique is planned based on the Particle Swarm Optimization (PSO) and cepstrum method. Angle and distance is obtained from motion blurred images using cepstrum method. The parameters of cepstrum are optimized through PSO technique. Here, we are optimizing values of theta and length from cepstrum of blurred image, which will help in PSF calculations. To extend the result of our previous work (Almeida and Almeidain in IEEE Trans Image Process 19(1):36–52, 2010 [1]) we have used PSO technique which is giving better result than GA. Also the convergence rate is faster and computational time of an algorithm is also reduced. Hence, the proposed method outperforms the previous method.