A method of superresolution image processing based on the improved frequency-domain image registration

In order to improve the spatial resolution of the designed photoelectric imaging system, based on the improved frequency-domain image registration techniques, a Papoulis-Gerchberg superresolution reconstruction method is presented. The micro displacement between low resolution images is estimated by the improved frequency-domain image registration techniques, and the image restoration is done with the Papoulis-Gerchberg superresolution image processing method. Different reconstruction methods are applied to reconstruct the simulated image and the real thermal microscope image, the evaluation parameters are given. Both the evaluation parameters and the visual effect show that the proposed algorithm is effective. The image spatial resoluion and quality are improved and the detail is more, the algorithm proposed is sample, fast and has low computational complexity. The algorithm can also be applied into the uncontrolled optical microscanning imaging systems and has wide application prospect.