NDLI: Effective Image Fusion Rules Of Multi-scale Image Decomposition

Content Provider	IEEE Xplore Digital Library
Author	Youzhi Zheng Xiaodong Hou Tiantian Bian Zheng Qin
Copyright Year	2007
Description	Author affiliation: Tsinghua Univ., Beijing (Youzhi Zheng)
Abstract	Image fusion rule is the key that influences the quality of image fusion which is a primary branch of multi-sensor information fusion. This paper proposes a fusion rule based on the combination of PCA and consistency checking and applies it to multi-scale image fusion algorithm. The method applies the PCA method to the approximation image decomposed by multi-scale and adopts "select max" on detail image, the consistency of which is later checked with fusion decision. The proposed rule overcomes the instability and incontinuity of information occurring in the image fusion decomposed by multi-scale before. The experimental results show that better than the traditional rules, this method can effectively improve the quality of multi-sensor image fusion, and is especially applicable to images fusion of different sensors.
Starting Page	362
Ending Page	366
File Size	276744
Page Count	5
File Format	PDF
ISBN	9789531841160
ISSN	18455921
DOI	10.1109/ISPA.2007.4383720
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-27
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Fac. of Elec. Eng. & Computing, Univ of Zagreb, Croatia
Subject Keyword	Image fusion Image decomposition Principal component analysis Layout Image analysis Software engineering Quality management Technology management Engineering management Image sensors
Content Type	Text
Resource Type	Article

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