Feature-Based Multi-sensor Images Alignment and Enhancement

Abstract

This paper presents an efficient image alignment and image enhancement method for multi-sensor images. The shape of the object captured in one of the multi-sensor images can be found by similar edges but different contrasts in the other multi-sensor image. Using this cue, our approach is based on the magnitudes of the oriented edges and results in the fast alignment method by feature matching between multi-sensor images. To enhance the image with aligned multi-sensor images, we estimate a salient region mask which covers the information of all input images. Our experimental results show that our proposed method can efficiently align multi-sensor images and enhance them better than the current methods.