Noise Characteristics Based on Genetic Algorithm Optimizations of Image Reconstruction
GA approach suitable for solving object Recognition problem is described and evaluated using a series of simple model problems. Usually GA calculation produces enormous amount of data that contains rich information, of which only a tiny section is commonly utilized runs through the design optimization. An application of Genetic Algorithm optimization with Noise characteristics would give many insights into how to allocate various image reconstruction options in different echelons, GA employing a global search might identify a better solution in an different area of the search space.
Dongye Sun, Wen-Pei Sung and Ran Chen
H. Yan and X. F. Wang, "Noise Characteristics Based on Genetic Algorithm Optimizations of Image Reconstruction", Applied Mechanics and Materials, Vols. 121-126, pp. 2116-2120, 2012