This paper addresses four different aspects of the remote sensing image fusion: i) image fusion method, ii) quality analysis of fusion results, iii) effects of image decomposition level, and iv) importance of image registration. First, a new contourlet-based image fusion method is presented, which is an improvement over the wavelet-based fusion. This fusion method is then utilized withinthe mai...

In this paper we present a method for image fusion based on a probabilistic approach. The objective is to obtain a segmented image from two images representing the same scene captured at the same moment. Image resulting could then be used to estimate finer.

The problem of fusing beliefs in the Dempster-Shafer belief theory has attracted considerable attention over the last two decades. The classical Dempster’s Rule has often been criticised, and many alternative rules for belief fusion have been proposed in the literature. We show that it is crucial to consider the nature of the situation to be modelled and to select the appropriate fusion operato...

Image fusion is the process of integrating multiple images of the same scene into a single fused image to reduce uncertainty and minimizing redundancy while extracting all the useful information from the source images. Image fusion process is required for different applications like medical imaging, remote sensing, medical imaging, machine vision, biometrics and military applications where qual...

The objective of Image fusion is to combine information from multiple images of the same scene in to a single image retaining the important and required features from each of the original image. Nowadays, with the rapid development in high-technology and modern instrumentations, medical imaging has become a vital component of a large number of applications, including diagnosis, research, and tr...