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Proceedings Paper

Infrared and visible image fusion using NSCT and GGD
Author(s): Xiuqiong Zhang; Cuiyin Liu; Tao Men; Hongyin Qin; Mingrong Wang
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Paper Abstract

In order to fuse the visible and infrared images captured in low visibility conditions, a method based on nonsubsampled contourlet transform (NSCT) and generalized Gaussian distribution (GGD) is proposed in this paper. The statistical character of the directional coefficients decomposed by NSCT meet the GGD. So, the coefficients are estimated using absolute moment estimation in local neighbor in directional coefficients. The estimated scale parameter is used to measure the saliency and compute the weight. The fused coefficients are obtained by the weighted average and are reconstructed the final fused image. Compared to the DWT and SIDWT, the proposed method has b superior fusion performance.

Paper Details

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090V (8 July 2011); doi: 10.1117/12.896145
Show Author Affiliations
Xiuqiong Zhang, Leshan Normal Univ. (China)
Sichuan Univ. (China)
Cuiyin Liu, Sichuan Univ. (China)
Tao Men, Leshan Normal Univ. (China)
Hongyin Qin, Leshan Normal Univ. (China)
Mingrong Wang, Leshan Normal Univ. (China)

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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