New polarization imaging method based on spatially adaptive wavelet image fusion

Yongqiang Zhao; Quan Pan; Hong-Cai Zhang

doi:10.1117/1.2401625

1 December 2006 New polarization imaging method based on spatially adaptive wavelet image fusion

Yongqiang Zhao, Quan Pan, Hong-Cai Zhang

Author Affiliations +

Optical Engineering, Vol. 45, Issue 12, 123202 (December 2006). https://doi.org/10.1117/1.2401625

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.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yongqiang Zhao, Quan Pan, and Hong-Cai Zhang "New polarization imaging method based on spatially adaptive wavelet image fusion," Optical Engineering 45(12), 123202 (1 December 2006). https://doi.org/10.1117/1.2401625

Published: 1 December 2006

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