Image Fusion and Its Separation Using SVD based ICA Method
DOI:
https://doi.org/10.18486/ijcsnt/7.3.097Keywords:
Real Image, ICA, BSS, PSNR, SIR, Rea MixtureAbstract
Image fusion and its separation is a frequently arising issue in image processing field. In this paper we have described image fusion and it’s Separation using SVD based Independent Component Analysis technique. Fused image separation using SVD Based ICA Method depend on order of images such as Mean, variance, Skewness and kurtosis. This technique gives better result than any other technique based on Peak signal to noise Ratio and Signal Interference ratio. The work is encouraging and results are also in accordance to the targeted outcome.
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Copyright (c) 2018 Mayank Satya Prakash Sharma, Nikhil Paliwal, Mahendra Kumar Pandey
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