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Proceedings Paper

An adaptive fusion strategy of polarization image based on NSCT
Author(s): Chang-xia Zhao; Jin Duan; Chun-he Mo; Guang-qiu Chen; Qiang Fu
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Paper Abstract

An improved image fusion algorithm based on the NSCT is proposed in this paper. After decomposition NSCT method of multi-scale and multiple directions, polarization image was decomposed into two parts: low frequency sub-band and high frequency band-pass images. The fusion strategy of combining local regional energy and gradient structure similarity were used in low-frequency coefficients. While in the high-frequency band-pass coefficients part, the fusion strategy of the location spatial frequency as the correlation coefficient was used. The intensity image and polarization degree image are fused for improving the sharpness and contrast of the image. The experiments show that the algorithm is effective to improve the imaging quality in the turbid medium.

Paper Details

Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9521, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I, 95210K (4 March 2015); doi: 10.1117/12.2087552
Show Author Affiliations
Chang-xia Zhao, Changchun Univ. of Science and Technology (China)
Jin Duan, Changchun Univ. of Science and Technology (China)
Chun-he Mo, Changchun Univ. of Science and Technology (China)
Guang-qiu Chen, Changchun Univ. of Science and Technology (China)
Qiang Fu, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9521:
Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I
Xun Hou; Zhihong Wang; Lingan Wu; Jing Ma, Editor(s)

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