Image fusion is the process of integrating multiple images of the same sceneinto a single fused image to reduce uncertainty and minimizing redundancy whileextracting all the useful information from the source images. Image fusionprocess is required for different applications like medical imaging, remotesensing, medical imaging, machine vision, biometrics and military applicationswhere quality and critical information is required. In this paper, image fusionusing fuzzy and neuro fuzzy logic approaches utilized to fuse images fromdifferent sensors, in order to enhance visualization. The proposed work furtherexplores comparison between fuzzy based image fusion and neuro fuzzy fusiontechnique along with quality evaluation indices for image fusion like imagequality index, mutual information measure, fusion factor, fusion symmetry,fusion index, root mean square error, peak signal to noise ratio, entropy,correlation coefficient and spatial frequency. Experimental results obtainedfrom fusion process prove that the use of the neuro fuzzy based image fusionapproach shows better performance in first two test cases while in the thirdtest case fuzzy based image fusion technique gives better results.
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