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Proceedings Paper

Assessment of color image fusion algorithms based on quaternion singular value decomposition
Author(s): Yuqing Wang; Ming Zhu; Haochen Pang; Yong Wang
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Paper Abstract

In this paper, a new approach to objectively assess the performance of image fusion algorithms is proposed. It is based on the quaternion representation for the structural information of color images. Quaternions are used to encode the pixels of a color image into a quaternion matrix. Local variance of the luminance layer of color image is taken as the real part of a quaternion, then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to the source image and the fused image is used to measure the structural similarity of them. Different weight is given to the source images by using variance. The experiment results show that the proposed assessment method is consistent with the HVS. The color information of a color image can be fully used by this method. It can give an accurate assessment result for each fusion algorithm by using the source images and the fused image.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981Y (30 October 2009); doi: 10.1117/12.833901
Show Author Affiliations
Yuqing Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of Chinese Academy of Sciences (China)
Ming Zhu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Haochen Pang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of Chinese Academy of Sciences (China)
Yong Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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