Image Enhancement Using Adaptive Genetic Algorithm

This program presents an image enhancement method utilizing an adaptive genetic algorithm. The adaptive genetic algorithm is an optimization technique that improves image quality by simulating natural selection processes. The core concept originates from a research paper published in the "Chinese Journal of Computers", which introduced a novel approach to image enhancement. Through the adaptive genetic algorithm implementation, we can optimize various image attributes including brightness, contrast, and sharpness according to specific image characteristics and requirements. The algorithm implementation typically involves key components such as chromosome encoding of enhancement parameters, fitness function design using image quality assessment metrics, and adaptive adjustment of genetic operators. This method finds extensive applications in image processing domains, effectively enhancing image quality while meeting diverse user requirements through iterative optimization processes.