Photonics Research, Volume. 12, Issue 8, 1640(2024)

Robust polarimetric dehazing algorithm based on low-rank approximation and multiple virtual-exposure fusion

Yifu Zhou1,2, Hanyue Wei1,2, Jian Liang1,2, Feiya Ma1,2, Rui Yang1,2, Liyong Ren1,2,3、*, and Xuelong Li4,5
Author Affiliations
  • 1School of Physics and Information Technology, Shaanxi Normal University, Xi’an 710119, China
  • 2Xi’an Key Laboratory of Optical Information Manipulation and Augmentation (OMA), Xi’an 710119, China
  • 3Robust (Xixian New Area) Opto-Electro Technologies Co., Ltd., Xi’an 712000, China
  • 4Institute of Artificial Intelligence (TeleAI), China Telecom Corp Ltd., Beijing 100033, China
  • 5e-mail: xuelong_li@ieee.org
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    [11] Y. Y. Schechner, S. G. Narasimhan, S. K. Nayar. Instant dehazing of images using polarization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), I-I(2001).

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    [22] K. Zheng, K. Ma, R. Hassen. Perceptual evaluation of multi-exposure image fusion algorithms. 6th International Workshop on Quality of Multimedia Experience (QoMEX), 7-12(2014).

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    [30] Y. Jin, B. Lin, W. Yan. Enhancing visibility in nighttime haze images using guided APSF and gradient adaptive convolution. 31st ACM International Conference on Multimedia, 2446-2457(2023).

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    Yifu Zhou, Hanyue Wei, Jian Liang, Feiya Ma, Rui Yang, Liyong Ren, Xuelong Li, "Robust polarimetric dehazing algorithm based on low-rank approximation and multiple virtual-exposure fusion," Photonics Res. 12, 1640 (2024)

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    Paper Information

    Category: Image Processing and Image Analysis

    Received: Feb. 26, 2024

    Accepted: May. 20, 2024

    Published Online: Jul. 25, 2024

    The Author Email: Liyong Ren (renliy@snnu.edu.cn)

    DOI:10.1364/PRJ.522370

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