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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 5, Iss. 10 — Oct. 10, 2007
  • pp: 569–572

A novel image fusion algorithm based on bandelet transform

Xiaobo Qu, Jingwen Yan, Guofu Xie, Ziqian Zhu, and Bengang Chen  »View Author Affiliations


Chinese Optics Letters, Vol. 5, Issue 10, pp. 569-572 (2007)


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Abstract

A novel image fusion algorithm based on bandelet transform is proposed. Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. For reconstructing the fused image, the maximum rule is used to select source images' geometric flow and bandelet coefficients. Experimental results indicate that the bandelet-based fusion algorithm represents the edge and detailed information well and outperforms the wavelet-based and Laplacian pyramid-based fusion algorithms, especially when the abundant texture and edges are contained in the source images.

© 2007 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.7410) Image processing : Wavelets
(350.2660) Other areas of optics : Fusion
(350.6980) Other areas of optics : Transforms

Citation
Xiaobo Qu, Jingwen Yan, Guofu Xie, Ziqian Zhu, and Bengang Chen, "A novel image fusion algorithm based on bandelet transform," Chin. Opt. Lett. 5, 569-572 (2007)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-5-10-569


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