High-resolution image reconstruction from rotated and translated low-resolution images with multisensors

Abstract

We extend the multisensor work by Bose and Boo (1998) and consider the perturbations of displacement error that are due to both translation and rotation. The warping process is introduced to obtain the ideal low-resolution image, which is located at exactly horizontal and vertical shift. In this approach, the problem of high-resolution image reconstruction is turned into the problem of image restoration, and the system becomes spatially invariant rather than spatially variant in the original problem. An efficient algorithm is presented. Experimental results show that the proposed methods are quite effective, and they perform better than the bilinear image interpolation method. © 2004 Wiley Periodicals, Inc.