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Proceedings Paper

A new image fusion method based on curvelet transform
Author(s): Binbin Chu; Xiushun Yang; Dening Qi; Congli Li; Wei Lu
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Paper Abstract

A new image fusion method based on Multiscale Geometric Analysis (MGA), which uses the improved fusion rules, is put forward in this paper. Firstly, the input low-level-light image and infrared image are decomposed by Curvelet transform, which is realized by Unequally-Spaced Fast Fourier Transforms. Secondly, the decomposed coefficients in different scales and directions are fused by corresponding fusion rules. At last, the fusion image is acquired by recomposing the fused coefficients. The simulation results show that this method performs better than the conventional wavelet method both in the subjective vision aspect and the objective estimation indices.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462C (26 February 2010); doi: 10.1117/12.853126
Show Author Affiliations
Binbin Chu, New Star Research Institute of Applied Technology (China)
Xiushun Yang, New Star Research Institute of Applied Technology (China)
Dening Qi, New Star Research Institute of Applied Technology (China)
Congli Li, New Star Research Institute of Applied Technology (China)
Wei Lu, New Star Research Institute of Applied Technology (China)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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