NDLI: A new fusion image quality assessment based on edge and structure similarity

Content Provider	IEEE Xplore Digital Library
Author	Junyao Liu Huijing Wang Wen Qin
Copyright Year	2011
Description	Author affiliation: Department of Computer Application, Shenzhen Institute of Information Technology, Shenzhen, China (Junyao Liu; Huijing Wang; Wen Qin)
Abstract	The quality assessment of fusion images is of fundamental importance for most image fusion applications. Piella proposes a quality metric for image fusion based on structural similarity but it has been proved not so good in some cases. In this paper we present a novel objective fusion image quality index which is also very easy to calculate and applicable to various image fusion processing applications. Statistics by many experiments, we find that in most cases when the edge image of fused results are closer to the addition result of the two original edge images, it can express better visual effects. So, we introduce the edge information and the corresponding addition result into the assessment and calculate the whole index based on the ideal edge structure both in part and unity. Experiments demonstrate that the new assessment maintains better consistency with human subjective perception.
Starting Page	112
Ending Page	115
File Size	776764
Page Count	4
File Format	PDF
ISBN	9781612849102
e-ISBN	9781612849119
DOI	10.1109/CYBER.2011.6011774
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Measurement Fusion image quality assessment Edge image Image edge detection Structural similarity Entropy Discrete wavelet transforms Indexes Image fusion
Content Type	Text
Resource Type	Article

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