NDLI: Multi-Focus Image Fusion Based on NSCT and NSST

Content Provider	Springer Nature Link
Author	Moon, Altan Ulzii Hu, Jianwen
Copyright Year	2015
Abstract	In this paper, a multi-focus image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) and the nonsubsampled shearlet transform (NSST) is proposed. The source images are first decomposed by the NSCT and NSST into low frequency coefficients and high frequency coefficients. Then, the average method is used to fuse low frequency coefficient of the NSCT. To obtain more accurate salience measurement, the high frequency coefficients of the NSST and NSCT are combined to measure salience. The high frequency coefficients of the NSCT with larger salience are selected as fused high frequency coefficients. Finally, the fused image is reconstructed by the inverse NSCT. We adopt three metrics (Q$^{ AB/F }$, Q$_{ e }$ and Q$_{ w }$) to evaluate the quality of fused images. The experimental results demonstrate that the proposed method outperforms other methods. It retains highly detailed edges and contours.
Starting Page	1
Ending Page	16
Page Count	16
File Format	PDF
ISSN	15572064
Journal	Sensing and Imaging: An International Journal
Volume Number	16
Issue Number	1
e-ISSN	15572072
Language	English
Publisher	Springer US
Publisher Date	2015-02-19
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-focus image fusion Nonsubsampled contourlet transform Nonsubsampled shearlet transform Low frequency coefficient High frequency coefficient Electrical Engineering Microwaves, RF and Optical Engineering Imaging Radiology
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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