An Improved Super Resolution Image Reconstruction Using SVD based Fusion and Blind Deconvolution Techniques

Abstract

The High resolution (HR) images can be obtained from a set of noisy and blurred low resolution (LR) observations by applying the Super Resolution (SR) technique. In this paper a new SR algorithm that uses Singular Value Decomposition (SVD) based Fusion and Blinddeconvolution techniques is proposed.The algorithm significantly improves the resolution and eliminates the noise and blur associated with low resolution images, when compared with the other existing methods.