Application for Image Restoration of Genetic-Iterative Fourier Transfer Algorithm

Abstract

This paper describes a new method for image restoration by blind deconvolution using genetic algorithm(GA), named Genetic-Iterative Fourier Transfer Algorithms(GIFTA) . First, they code into gene that are intensity of Fourier transformed two images degraded and initial guess one, and the gene makes an individual with a phase of degraded one. Then, genetic operations, i.e., reproduction, crossover and mutation are done in Fourier domain. Simularity is used in order to estimate the gene in spatial domain. Where, a -priori knowledge which are non-negativity and finitly of an image are constrained. Then, these steps iterate until satisfy the ending condition. Excellent results of simulation are provided by this method.