Images Reconstruction with Use of a Genetic Algorithm
Anna Piwońska, Urszula Grycuk · 2007
In this paper we investigate the task of images reconstruction with use of a genetic algorithm (GA). We consider two kinds of images: colored and black- and-white. Each kind of images requires different coding for a GA. In the case of colored images we base on the RGB color model. When black-and-white images are considered, we use binary coding. A genetic algorithm evolves an initial randomly generated population of individuals (images). The aim of a GA is to find a solution as similar to a reconstructed image as possible. We show results of computer experiments and formulate conclusions arising from them.