Super-resolution Reconstruction Based on Image Sequences
Xia Xu · Infrared Technology · 2010
A new super-resolution algorithm is proposed to the problem of reconstructing a high-resolution image from several low-resolution images that have been sub-sampled in this paper.In order to attain a high-resolution image,the algorithm is based on the MAP algorithm,solving the optimization by proposed iteration steps with using the gradient projection method.The results of the experiments indicate that the proposed algorithm has considerable effectiveness in that it can not only be very easy to utilize the priori conditions as constraints to improve the convergence rate,but also can get the high resolution reconstruction image expectedly.Simulation results demonstrate that the method can realize the super-resolution image with little time.