Multi-Focus Image Fusion Using Discrete Wavelet Transform Method
8 Pages Posted: 7 May 2019
Date Written: March 14, 2019
Multi-focus image fusion is an essential method to merge the important information from a data-set of images with the similar scene. The fused image can be more informative than any previous source image. In this paper, a new scheme based on discrete wavelet transformation (DWT) is proposed. Multi-focus images are decomposed in different level and get the relevant results with few fusion metrics like standard deviation (SD), coefficient correlation (CC), entropy etc. In between, variance based fusion on approximation part and weighted fusion on detailed part have been used to generate the further process. Finally multi-focus images are all in one focus. The experimental work is applied to produce the good quality scale images; researched work established the qualitative approach impressively.
Keywords: Multi-Focus Image Fusion, Discrete Wavelet Transform , Weighted Fusion, Variance Fusion
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