Hybrid Approach based Image Fusion Method for Image Enhancement
Abstract: Image fusion is a process of integrating information from multiple sensors, which enhances the quality of images quantitatively and qualitatively. Image fusion provides an effective way of reducing this increasing volume of information while at the same time extracting all the useful information from the source images. Various types of image fusion method are developed which has their own merits and demerits. This paper used the advantages of Wavelets transform and principal components analysis (PCA) based image fusion to develop a hybrid image fusion.
Keywords: Image Fusion, Entropy, PCA, Wavelets transform
How to Cite?: Navita Kumari, Rahul Verma, "Hybrid Approach based Image Fusion Method for Image Enhancement", Volume 7 Issue 6, June 2018, International Journal of Science and Research (IJSR), Pages: 1137-1139, https://www.ijsr.net/getabstract.php?paperid=ART20183447, DOI: https://dx.doi.org/10.21275/ART20183447