Image Noise Elimination Using Evolutionary Algorithm

Abstract

Abstract Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems . Learning methods for image denoising consist of minimizing a functional , which incorporates both the data and some penalty term . Choosing the penalty term to involve the total variation of the image has the advantage of cleaning speckles without smoothing out the edges . In this paper , our goal is to investigate the use of genetic algorithms to minimize the functional .

Keywords

• keywords: evolutionary algorithms
• image processing
• noise removal