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International Conference on Neural Information Processing

ICONIP 2018: Neural Information Processing pp 529–541Cite as

Two-Phase Transmission Map Estimation for Robust Image Dehazing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11306))

Abstract

A robust two-phase transmission map estimation framework is proposed in this paper for single image dehazing. The proposed framework first estimates the coarse transmission map through the statistical assumption of dark channel prior (DCP). To refine the coarse transmission map, a novel image-gradient-guided high-order variational method is then proposed in the second phase. The resulting L1-regularized high-order nonsmooth optimization problem will be effectively solved using the primal-dual algorithm. Once the fine transmission map is accurately obtained, the final haze-free image could be restored based on the haze imaging model of Koschmieder. To further enhance dehazing performance, an improved tolerance mechanism is incorporated into the proposed method to suppress the undesirable artifacts usually produced by DCP in large sky regions. Numerous experiments on both synthetic and realistic images were performed to compare our proposed method with several state-of-the-art dehazing methods. Dehazing results have illustrated the superior performance of the proposed method.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No.: 51609195), and the Fund of Hubei Key Laboratory of Transportation Internet of Things (No.: WHUTIOT-2017B003).

Author information

Authors and Affiliations

  1. Department of Mathematics, Wuhan University of Technology, Wuhan, China

    Qiaoling Shu & Chuansheng Wu

  2. School of Navigation, Wuhan University of Technology, Wuhan, China

    Ryan Wen Liu

  3. Hubei Key Laboratory of Transportation Internet of Things, School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China

    Ryan Wen Liu & Shengwu Xiong

  4. Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong

    Kwok Tai Chui

Authors
  1. Qiaoling Shu
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  2. Chuansheng Wu
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  3. Ryan Wen Liu
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  4. Kwok Tai Chui
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  5. Shengwu Xiong
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Corresponding author

Correspondence to Ryan Wen Liu .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi Sing Leung

  3. Kobe University, Kobe, Japan

    Seiichi Ozawa

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Shu, Q., Wu, C., Liu, R.W., Chui, K.T., Xiong, S. (2018). Two-Phase Transmission Map Estimation for Robust Image Dehazing. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11306. Springer, Cham. https://doi.org/10.1007/978-3-030-04224-0_46

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  • DOI: https://doi.org/10.1007/978-3-030-04224-0_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04223-3

  • Online ISBN: 978-3-030-04224-0

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