TY - JOUR
AU - 
AB - 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 com- pute 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. Keywords: Cepstrum, Genetic Algorithm, Image Restoration, Parameter Estimation 1. Introduction C(g(x,y)) = C(f(x,y)+C(h(x,y)) (2) During the capturing of image some error occurs in the imaging system, due to which the image gets dete- The power cepstrum used in an application is required riorated. The reversing method of retrieving the actual for the analysis of human speech. But in our proposed image by eliminating the noise and blur is the challeng- method we performed Fourier transform of loga- ing problem in image processing. It 
TI - GA based Blind Deconvolution Technique of Image Restoration using Cepstrum Domain of Motion Blur
JO - Indian Journal of Science and Technology
DO - 10.17485/ijst/2017/v10i16/114303
DA - 2017-04-01
UR - https://www.deepdyve.com/lp/unpaywall/ga-based-blind-deconvolution-technique-of-image-restoration-using-8HvUVZDv2h
DP - DeepDyve
ER -