Image Superresolution via Divergence Matrix and Automatic Detection of Crossover
Dmytro Peleshko, Тарас Рак, Ivan Izonin · International Journal of Intelligent Systems and Applications · 2016
The paper describes the image superresolution method with aggregate divergence matrix and automatic detection of crossover.Formulation of the problem, building extreme optimization task and its solution for solving the automation determination of the crossover coefficient is presented.Different ways for building oversampling images algorith ms based on the proposed method are shows.Based on practical experiments shows the effectiveness of the procedure of automatically the determination of the crossover coefficient.Experimentally established the effectiveness of the procedures oversampling images at high zoo m resolution by the developed method.