Based on the Technique of Regularization MAP Super-Resolution Image Reconstruction Algorithm

In this paper, we studied two kinds of image super-resolution algorithms based on MAP-The single frame and multi-frame based regularization technique. In multi-frame version the local adaptive regularized parameter derived from the local image features was introduced to improve the regularization performance, while insufficient considerate in single version. The algorithms adaptively update the parameter and reconstructed image via iterative optimization. Experimental results show that the both algorithm can reconstruct the desire image, the reconstruction result of multi-frame adaptive algorithm is superior to the single-frame version on the objective evaluation index.