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Proceedings Paper

Fast color-transfer-based image fusion method for merging infrared and visible images
Author(s): Guangxin Li; Shuyan Xu; Xin Zhao
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Paper Abstract

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.

Paper Details

Date Published: 28 April 2010
PDF: 12 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100S (28 April 2010); doi: 10.1117/12.849199
Show Author Affiliations
Guangxin Li, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Shuyan Xu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Xin Zhao, Changchun Univ. (China)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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