An adaptive fusion strategy of polarization image based on NSCT

Chang-xia Zhao; Jin Duan; Chun-he Mo; Guang-qiu Chen; Qiang Fu

doi:10.1117/12.2087552

4 March 2015 An adaptive fusion strategy of polarization image based on NSCT

Chang-xia Zhao, Jin Duan, Chun-he Mo, Guang-qiu Chen, Qiang Fu

Proceedings Volume 9521, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I; 95210K (2015) https://doi.org/10.1117/12.2087552
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held August-October 2014, 2014, China, China

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.

Citation Download Citation

Chang-xia Zhao, Jin Duan, Chun-he Mo, Guang-qiu Chen, and Qiang Fu "An adaptive fusion strategy of polarization image based on NSCT", 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); https://doi.org/10.1117/12.2087552

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