Color multi-focus image fusion algorithm based on fuzzy theory and dual-tree complex wavelet transform. Issue 2 (June 2017)

• Record Type: Journal Article
• Authors: Sun, Yan; Jiang, Ling
• Is Part Of: Journal of algorithms & computational technology. Volume 11:Issue 2(2017)
• Page Start: 163
• Page End: 169
• Publication Date: 2017-06
• Subjects: Color multi-focus image -- image fusion -- dual-tree complex wavelet transform -- fuzzy theory; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748301816689686
• Languages: English
• ISSNs: 1748-3018

Abstract

This paper puts forward a new color multi-focus image fusion algorithm based on fuzzy theory and dual-tree complex wavelet transform for the purpose of removing uncertainty when choosing sub-band coefficients in the smooth regions. Luminance component is the weighted average of the three color channels in the IHS color space and it is not sensitive to noise. According to the characteristics, luminance component was chosen as the measurement to calculate the focus degree. After separating the luminance component and spectrum component, Fisher classification and fuzzy theory were chosen as the fusion rules to conduct the choice of the coefficients after the dual-tree complex wavelet transform. So fusion color image could keep the natural color information as much as possible. This method could solve the problem of color distortion in the traditional algorithms. According to the simulation results, the proposed algorithm obtained better visual effects and objective quantitative indicators.