Document Type : Research Paper
Author
Applied Science Dept. University of Technology
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
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