Laser & Optoelectronics Progress, Volume. 58, Issue 6, 610011(2021)

Iterative Optimization Dehazing Algorithm Based on Improved Linear Transformation

Yang Yan*, Du Kang, and Wu Xudong
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    References(16)

    [8] Cai B L, Xu X M, Jia K et al. DehazeNet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing, 25, 5187-5198(2016).

    [11] Tarel J P, Hautière N. Fast visibility restoration from a single color or gray level image[C]∥2009 IEEE 12th International Conference on Computer Vision, September 29-October 2, 2009, Kyoto, Japan., 2201-2208(2009).

    [13] Meng G F, Wang Y, Duan J Y et al. Efficient image dehazing with boundary constraint and contextual regularization[C]∥2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia., 617-624(2013).

    [14] Kim J H, Jang W D, Sim J Y et al. Optimized contrast enhancement for real-time image and video dehazing[J]. Journal of Visual Communication and Image Representation, 24, 410-425(2013).

    [15] Yang Y, Chen G K, Zhou J. Iterative optimization defogging algorithm using Gaussian weight decay[J]. Acta Automatica Sinica, 45, 819-828(2019).

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    Yang Yan, Du Kang, Wu Xudong. Iterative Optimization Dehazing Algorithm Based on Improved Linear Transformation[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610011

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    Paper Information

    Category: Image Processing

    Received: Jul. 16, 2020

    Accepted: --

    Published Online: Mar. 1, 2021

    The Author Email: Yang Yan (yangyantd@mail.lzjtu.cn)

    DOI:10.3788/LOP202158.0610011

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