ABSTRACT
The importance of image fusion lies in the fact that each observation image contains complementary information. In remote sensing and astronomy, multi-sensor fusion is used to achieve high spatial and spectral resolutions by combining images from two sensors–one with high spatial resolution and the other with high spectral resolution. Plenty of applications that use multi-sensor fusion of visible and infrared images have appeared in military, security, and surveillance areas. The images to be fused always contain both complementary and redundant information. One of the main objectives of image fusion is to increase the spatial resolution of the input image. Multi-sensor image fusion can be divided into pixel, feature, and decision levels. Multi-sensor image fusion systems overcome the limitations of a single-sensor vision system by combining the images from these sensors to form a composite image. Pixel level image fusion is the simplest approach.
