30 July 2015 Multifocus image fusion scheme based on the multiscale curvature in nonsubsampled contourlet transform domain
Xiaosong Li, Huafeng Li, Zhengtao Yu, Yingchun Kong
Author Affiliations +
Abstract
An efficient multifocus image fusion scheme in nonsubsampled contourlet transform (NSCT) domain is proposed. Based on the property of optical imaging and the theory of defocused image, we present a selection principle for lowpass frequency coefficients and also investigate the connection between a low-frequency image and the defocused image. Generally, the NSCT algorithm decomposes detail image information indwells in different scales and different directions in the bandpass subband coefficient. In order to correctly pick out the prefused bandpass directional coefficients, we introduce multiscale curvature, which not only inherits the advantages of windows with different sizes, but also correctly recognizes the focused pixels from source images, and then develop a new fusion scheme of the bandpass subband coefficients. The fused image can be obtained by inverse NSCT with the different fused coefficients. Several multifocus image fusion methods are compared with the proposed scheme. The experimental results clearly indicate the validity and superiority of the proposed scheme in terms of both the visual qualities and the quantitative evaluation.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286 /2015/$25.00 © 2015 SPIE
Xiaosong Li, Huafeng Li, Zhengtao Yu, and Yingchun Kong "Multifocus image fusion scheme based on the multiscale curvature in nonsubsampled contourlet transform domain," Optical Engineering 54(7), 073115 (30 July 2015). https://doi.org/10.1117/1.OE.54.7.073115
Published: 30 July 2015
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Cited by 32 scholarly publications.
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KEYWORDS
Image fusion

Optical engineering

Visualization

Information visualization

Image processing

Image segmentation

Lithium

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