2026-04-19T23:12:51Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/3944772026-04-08T01:35:16Zcom_2072_98col_2072_378192

00925njm 22002777a 4500 dc Sadhasivam, Senthil Kumar author Keerthivasan, Mahesh Bharath author Muttan, S. author 2011 Image fusion is the combination of two or more different images by using suitable algorithms to form an output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we present an approach that uses the principle component analysis (PCA) along with the selection of maximum pixel intensity to perform fusion. The entropy, mutual information and the universal index based measure are used to evaluate the performance of this fusion algorithm. Pixel level image fusion Principal Component Analysis Weight based fusion Implementation of Max Principle with PCA in Image Fusion for Surveillance and Navigation Application