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Optical Engineering

New polarization imaging method based on spatially adaptive wavelet image fusion
Author(s): Yongqiang Zhao; Quan Pan; Hong-Cai Zhang
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Paper Abstract

This paper presents an algorithm to calculate polarized images, based on spatially adaptive wavelet analysis, in which image fusion theory is used. According to the principle and method of polarization imaging, the shortcomings of traditional methods in preserving detail information, removing the noise, and dealing with the misalignment of components in polarimetry are analyzed. Polarized-image calculation is a special case of image fusion, in which the combination rule is fixed. At the same time, wavelet-based image fusion method has a special advantage in acquiring rich detail information. To remove the effects of noise, we propose a spatially adaptive wavelet transform method. Then this method is extended to translation-invariant wavelets, which yield better results than the orthogonal wavelet transform when there is misalignment among components in polarimetry. Experiment and simulation results show that spatially adaptive wavelet-based polarization imaging yields significantly superior image quality to the traditional method.

Paper Details

Date Published: 1 December 2006
PDF: 7 pages
Opt. Eng. 45(12) 123202 doi: 10.1117/1.2401625
Published in: Optical Engineering Volume 45, Issue 12
Show Author Affiliations
Yongqiang Zhao, Northwestern Polytechnical Univ. (China)
Quan Pan, Northwestern Polytechnical Univ. (China)
Hong-Cai Zhang, Northwestern Polytechnical Univ. (China)

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