中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE)

文献类型:会议论文

作者Xu S.
出版日期2010
会议名称Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010
会议地点Orlando, FL, United states
关键词We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33939]  
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
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Xu S.. Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE)[C]. 见:Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010. Orlando, FL, United states.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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