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Proceedings Paper

Algorithm of image fusion based on finite ridgelet transform
Author(s): Kun Liu; Lei Guo; Weiwei Chang; Huihui Li
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Paper Abstract

Finite ridgelet transform (FRIT) overcomes the weakness of wavelet transform representing in two or higher dimensions and FRIT can efficiently represent the singularity of linear in image. When FRIT is applied to image fusion, the characters of original images can be effectively extracted and more important information is preserved. In this paper, we discussed the advantage of FRIT applying to the image fusion and the process of the fusion algorithm based on FRIT in details. Two sets of images are taken as experimental data, subjective and objective standard are used to evaluate the results. The experiment results show that the FRIT algorithm gets much better fusion results than wavelet, and image fusion algorithm based on FRIT is an effective and feasible algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860D (15 November 2007); doi: 10.1117/12.742247
Show Author Affiliations
Kun Liu, Northwestern Polytechnical Univ. (China)
Lei Guo, Northwestern Polytechnical Univ. (China)
Weiwei Chang, Northwestern Polytechnical Univ. (China)
Huihui Li, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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