An improved method for POCS superresolution image reconstruction

Recently superresolution image reconstruction becomes one of the hotspots in the field of image processing. As one of the most popular algorithm in the reconstruction methods POCS (Projection Onto Convex Sets) method can be used for complicated imaging model and make full use of prior information. However, the problem of big calculation quantity of POCS approach exists, and it becomes bigger when the method processes larger and higher magnification ratio images. Based on the analysis of the POCS restoration algorithm, a new method which could reduce the calculation quantity is proposed. The simulation results show that the new method has short runtime and keeps the same reconstruction quality compared with the original algorithm.