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	Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE)
	Wang Y. ; Zhu M. ; Pang H. ; Wang Y.
	2009
会议名称	MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009
会议地点	Yichang, China
关键词	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. 2009 Copyright SPIE - The International Society for Optical Engineering.
收录类别	EI
内容类型	会议论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/33806]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Wang Y.,Zhu M.,Pang H.,et al. Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE)[C]. 见:MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009. Yichang, China.

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