Infrared image and circular polarization image processing methods for high-concentration scattering environments

In high-concentration scattering media, low contrast often obscures the surface details and textures of target objects. This paper proposes a method to enhance imaging quality under such conditions using polarization imaging theory. The method involves image registration, estimation of environmental transmittance, calculation of the degree of polarization and polarization difference intensity, and application of the CLAHE method to improve detail visibility and obtain de-scattered images. Finally, a weighted adaptive wavelet transform based on edge detection fuses the de-scattered and infrared images. Experimental results show that the proposed method outperforms traditional approaches, particularly in high-concentration scattering environments, offering insights into combining infrared and polarized imaging for challenging scenarios.

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Publication Details

Journal
Applied Optics
Published
2025-03-14
DOI
https://doi.org/10.1364/ao.555392
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Infrared image and circular polarization image processing methods for high-concentration scattering environments

Yongqing Wei, Haojie Xia, Lu Hong, Dengke Zhao
Applied Optics
Advanced Image Fusion Techniques
article

Infrared image and circular polarization image processing methods for high-concentration scattering environments

Yongqing Wei, Haojie Xia, Lu Hong, Dengke Zhao
article en

Abstract

In high-concentration scattering media, low contrast often obscures the surface details and textures of target objects. This paper proposes a method to enhance imaging quality under such conditions using polarization imaging theory. The method involves image registration, estimation of environmental transmittance, calculation of the degree of polarization and polarization difference intensity, and application of the CLAHE method to improve detail visibility and obtain de-scattered images. Finally, a weighted adaptive wavelet transform based on edge detection fuses the de-scattered and infrared images. Experimental results show that the proposed method outperforms traditional approaches, particularly in high-concentration scattering environments, offering insights into combining infrared and polarized imaging for challenging scenarios.

Applied OpticsVol. 64(12)
National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 94%
Advanced Image Fusion Techniques
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Infrared image and circular polarization image processing methods for high-concentration scattering environments — Yongqing Wei, Haojie Xia, et al. · Applied Optics (2025) | TGRS Research Map | TGRS