Comprehensive and Comparative Study of Different Image Fusion Techniques
Image Fusion is the process in which two or more images are combined into single composite image which can retain all important features of all original images. Image Fusion is one of the major research fields in image processing. This technique can be applied in variety of domains: Navigation, Remote Sensing, Object detection, Object recognition, etc. And it plays a major role in medical applications in order to improve diagnosis and for proper treatment planning. The main objective of image fusion is to reduce redundancy and to extract particular information. The purpose of this paper is to elaborate wide range of algorithms and their comparative study together. There are many techniques proposed by different authors in order to fuse the images and produce the clear visual of the image. And this paper also provides survey about some of the various existing techniques applied for image fusion and comparative study of all the techniques concludes the better approach for its future research.
M. Ramya Princess, V. Suresh Kumar, M. Ramjan Begum
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