A new super-resolution image reconstruction method based on hybrid genetic algorithm
Mei Liu, Liu Wei-dong, Sun DeQing, Guoqiao Chen, Liu Huinian · 2005
A new super-resolution image reconstruction method is presented, which is based on the hybrid genetic algorithm embedded with gradient descent. It provides a higher quality reconstruction image and improves resolution by 4 times from 9 low-resolution frames. This method reconstructs a high-resolution image through an optimal estimation of the original image. It differs from those methods based on the iterative solution of equation and can improve the quality of CCD image greatly. It can also improve the convergence rate of the simple genetic algorithm.