The genesis of an Image fusion is intermingling multiple image of usual features to frame a solitary image which attains all the indispensable characteristics of image. At the moment a great deal of effort is going to be executed on the field of image fusion and used in various applications well like medical imaging and multi spectra sensor image fusing etc. For fusing the image numerous techniques have been proposed like wavelet transform. In present review article the image fusion along with wavelet transform has been discussed with its advantages and disadvantages along with defined parameters like entropy, mutual information, cross entropy, Fusion similarity metric (FSM), etc. It's tough to say which strategy is ideal for a particular application. For the image fusion application, all of the approaches were determined to be reliable.
Cite this article:
Sushant Bindra and Mehak Piplani (2021). Image Fusion using Wavelet Transform: Systematic Literature Review. Spectrum of Emerging Sciences, 1(1), pp.9-15.
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