GA based Blind Deconvolution Technique of Image Restoration using Cepstrum Domain of Motion Blur

摘要

Objectives: In this paper, the image restoration technique is designed based on the Genetic algorithm (GA) and cepstrum filtering. Methods/Statistical Analysis: We used the cepstrum method to find out motion blur parameters angle and length of spectrum according to the observed image for the cepstrum filtering. Findings: The GA as an optimization strategy can adjust the parameters and provide an appropriate value of theta and length. Optimized values of theta and length help to compute the PSF which is close to the real value of PSF as it increases the PSNR. The experimental results demonstrate that use of optimization technique in cepstrum filtering improve the PSNR of the restored image, but encounters some ringing effect.