Polarized image enhancement based on biological vision

Yifan He; Chunmin Zhang; Tingkui Mu

doi:10.1117/12.2586759

15 January 2021 Polarized image enhancement based on biological vision

Yifan He, Chunmin Zhang, Tingkui Mu

Author Affiliations +

Proceedings Volume 11761, Fourth International Conference on Photonics and Optical Engineering; 117610Z (2021) https://doi.org/10.1117/12.2586759
Event: Fourth International Conference on Photonics and Optical Engineering, 2020, Xi'an, China

Abstract

For passive polarization detection, limited by the scattering medium and the sensitivity of the detector, the detector usually can only receive the polarization information of the weak target. Moreover, nonlinear operators usually amplify the influence of noise in polarization parameter images. These factors result in low SNR of polarization images, which affects the application of polarization technology in different fields. This paper proposes a polarization image layering algorithm based on the principle of biological vision, which uses the statistical characteristics of the angle of polarization (AoP) as the weight parameter to perform contrast enhancement and denoising operations on the degree of polarization (DoP) image. And the final result can be obtained by simple fusion. Experimental results demonstrate that the algorithm is capable of improving the DOP of the target while suppressing background noise, which may provide new ideas for the application of polarized target detection and polarization visualization in interdisciplinary fields.

Citation Download Citation

Yifan He, Chunmin Zhang, and Tingkui Mu "Polarized image enhancement based on biological vision", Proc. SPIE 11761, Fourth International Conference on Photonics and Optical Engineering, 117610Z (15 January 2021); https://doi.org/10.1117/12.2586759

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