Work

Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain

Year: 2020

Type: article

Abstract: Polarimetric dehazing methods can significantly enhance the quality of hazy images. However, current methods are not robust enough under different imaging conditions. In this paper, we propose a generalized polarimetric dehazing method based on low-pass filtering in the frequency domain. This method can accurately estimate the polarized state of the scattering light automatically without adjusting bias parameters. Experimental results show the effectiveness and robustness of our proposed method in different hazy weather and scattering underwater environments with different densities. Furthermore, computational efficiency is enhanced more than 70% compared to the polarimetric dehazing method we proposed previously.

Source: Sensors

DOI: 10.3390/s20061729

Authors: Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang

Institutions: University of Arizona, Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory of Transient Optics and Photonics, Shaanxi Normal University

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,112

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, China Scholarship Council, West Light Foundation of the Chinese Academy of Sciences