An Image Fusion Approach Based on MRF with Post Processing

The goal of image fusion is to combine relevant information from two or more images of the same scene. The result of image fusion is a single image which is more suitable for visual and machine perception or further image processing tasks. In this paper, the fusion of remote sensing images based on Markov random field (MRF) model is studied. Mean of structural similarity index (MSSIM) is used to compare with other fusion methods. Experimental results are provided to demonstrate the improvement of fusion performance by the MRFCS algorithm.