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Proceedings Paper

An evaluation method for fusion image quality based on HVS
Author(s): Guifang Shao; Zushu Li; Tongyuan Huang; Xiaochuan Zhang
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Paper Abstract

The question may be posed as to which fusion algorithm is most suitable for irrelevant images in a Virtual Photographing System (VPS).In the present paper fusion image quality evaluating methods are proposed to be the key. In this paper, a new method is developed by first combining objective and subjective methods. Then, three different methods are used for objective evaluation, i.e., information entropy evaluation, cross grads evaluation for interested objects and an approaching index evaluation for edge transition smoothness. Five image fusion algorithms are presented. Experimental results prove that this hierarchical evaluated method is effective and more suitable for VPS. The conclusions of the quantitative evaluation and human vision are similar.

Paper Details

Date Published: 20 February 2006
PDF: 6 pages
Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 604103 (20 February 2006); doi: 10.1117/12.664277
Show Author Affiliations
Guifang Shao, Chongqing Univ. (China)
Institute of Technology, Chongqing (China)
Zushu Li, Chongqing Univ. (China)
Institute of Technology, Chongqing (China)
Tongyuan Huang, Institute of Technology, Chongqing (China)
Xiaochuan Zhang, Institute of Technology, Chongqing (China)


Published in SPIE Proceedings Vol. 6041:
ICMIT 2005: Information Systems and Signal Processing
Yunlong Wei; Kil To Chong; Takayuki Takahashi, Editor(s)

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