Optics and Precision Engineering, Volume. 30, Issue 4, 464(2022)

Single image dehazing with sky segmentation and haze density estimation

Jianwei LV1...2, Feng QIAN1, Haonan HAN1,2 and Bao ZHANG1,* |Show fewer author(s)
Author Affiliations
  • 1Changchun Institute of Optics,Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun30033, China
  • 2University of Chinese Academy of Sciences, Beijing100049, China
  • show less
    References(35)

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

    [2] [2] 2刘海波, 杨杰, 吴正平, 等. 基于暗通道先验和Retinex理论的快速单幅图像去雾方法[J]. 自动化学报, 2015, 41(7): 1264-1273. doi: 10.16383/j.aas.2015.c140748LIUH B, YANGJ, WUZ P, et al. A fast single image dehazing method based on dark channel prior and retinex theory[J]. Acta Automatica Sinica, 2015, 41(7): 1264-1273.(in Chinese). doi: 10.16383/j.aas.2015.c140748

    [3] [3] 3邓莉. 针对明亮区域的自适应全局暗原色先验去雾[J]. 光学 精密工程, 2016, 24(4): 892-901. doi: 10.3788/ope.20162404.0892DENGL. Adaptive image dehazing for bright areas based on global dark channel prior[J]. Opt. Precision Eng., 2016, 24(4): 892-901.(in Chinese). doi: 10.3788/ope.20162404.0892

    [4] [4] 4张峥, 李奇, 徐之海, 等. 结合颜色线和暗通道的遥感图像去雾[J]. 光学 精密工程, 2019, 27(1): 181-190. doi: 10.3788/ope.20192701.0181ZHANGZ, LIQ, XUZ H, et al. Color-line and dark channel based dehazing for remote sensing images[J]. Opt. Precision Eng., 2019, 27(1): 181-190.(in Chinese). doi: 10.3788/ope.20192701.0181

    [5] [5] 5王一斌, 尹诗白, 吕卓纹. 自适应背景光估计与非局部先验的水下图像复原[J]. 光学 精密工程, 2019, 27(2): 499-510. doi: 10.3788/OPE.20192702.0499WANGY B, YINS B, LVZH W. Underwater image restoration with adaptive background light estimation and non-local prior[J]. Opt. Precision Eng., 2019, 27(2): 499-510.(in Chinese). doi: 10.3788/OPE.20192702.0499

    [6] J A STARK. Adaptive image contrast enhancement using generalizations of histogram equalization. IEEE Transactions on Image Processing, 9, 889-896(2000).

    [7] E H LAND, J J MCCANN. Lightness and retinex theory. Journal of the Optical Society of America, 61, 1-11(1971).

    [8] E H LAND. The retinex theory of color vision. Scientific American, 237, 108-128(1977).

    [9] S G NARASIMHAN, S K NAYAR. Shedding light on the weather, I(2003).

    [10] K M HE, J SUN, X O TANG. Single image haze removal using dark channel prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).

    [11] A LEVIN, D LISCHINSKI, Y WEISS. A closed-form solution to natural image matting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 228-242(2008).

    [12] K M HE, J SUN, X TANG. Guided image filtering(2010).

    [13] L ZENG, Y Z DAI. Single image dehazing based on combining dark channel prior and scene radiance constraint. Chinese Journal of Electronics, 25, 1114-1120(2016).

    [14] X P LU, G Y LV, T LEI. Single image dehazing based on multiple scattering model, 239-244(2014).

    [15] [15] 15陈书贞, 任占广, 练秋生. 基于改进暗通道和导向滤波的单幅图像去雾算法[J]. 自动化学报, 2016, 42(3): 455-465. doi: 10.16383/j.aas.2016.c150212CHENS Z, RENZ G, LIANQ S. Single image dehazing algorithm based on improved dark channel prior and guided filter[J]. Acta Automatica Sinica, 2016, 42(3): 455-465.(in Chinese). doi: 10.16383/j.aas.2016.c150212

    [16] Q S ZHU, L SHAO. A fast single image haze removal algorithm using color attenuation prior. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 24, 3522-3533(2015).

    [17] D BERMAN, T TREIBITZ, S AVIDAN. Non-local image dehazing, 1674-1682(2016).

    [18] G F MENG, Y WANG, J Y DUAN et al. Efficient image dehazing with boundary constraint and contextual regularization, 617-624(2013).

    [19] C O ANCUTI, C ANCUTI, C DE VLEESCHOUWER et al. Color channel transfer for image dehazing. IEEE Signal Processing Letters, 26, 1413-1417(2019).

    [20] B L CAI, X M XU, K JIA et al. DehazeNet: an end-to-end system for single image haze removal. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 25, 5187-5198(2016).

    [21] B Y LI, X L PENG, Z Y WANG et al. AOD-net: all-in-one dehazing network, 4780-4788(2017).

    [22] W Q REN, S LIU, H ZHANG et al. Single image dehazing via multi-scale convolutional neural networks, 2016, 154-169(2016).

    [23] W QIAN, C ZHOU, D Y ZHANG. CIASM-net: a novel convolutional neural network for dehazing image, 329-333(2020).

    [24] J ZHANG, D C TAO. FAMED-net: a fast and accurate multi-scale end-to-end dehazing network. IEEE Transactions on Image Processing, 29, 72-84(2020).

    [25] C Y LI, C L GUO, J C GUO et al. PDR-net: perception-inspired single image dehazing network with refinement. IEEE Transactions on Multimedia, 22, 704-716(2020).

    [26] [26] 26陈清江, 张雪. 混合残差学习与导向滤波算法在图像去雾中的应用[J]. 光学 精密工程, 2019, 27(12): 2702-2712. doi: 10.3788/ope.20192712.2702CHENQ J, ZHANGX. Application of hybrid residual learning and guided filtering algorithm in image defogging[J]. Opt. Precision Eng., 2019, 27(12): 2702-2712.(in Chinese). doi: 10.3788/ope.20192712.2702

    [27] S K NAYAR, S G NARASIMHAN. Vision in bad weather, 820-827(1999).

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

    [29] [29] 29韩昊男, 钱锋, 吕建威, 等. 改进暗通道先验的航空图像去雾[J]. 光学 精密工程, 2020, 28(6): 1387-1394. doi: 10.3788/ope.20202806.1387HANH N, QIANF, LÜJ W, et al. Aerial image dehazing using improved dark channel prior[J]. Opt. Precision Eng., 2020, 28(6): 1387-1394.(in Chinese). doi: 10.3788/ope.20202806.1387

    [30] [30] 30鞠铭烨, 张登银, 纪应天. 基于雾气浓度估计的图像去雾算法[J]. 自动化学报, 2016, 42(9): 1367-1379.JUM Y, ZHANGD Y, JIY T. Image haze removal algorithm based on haze thickness estimation[J]. Acta Automatica Sinica, 2016, 42(9): 1367-1379.(in Chinese)

    [31] C ANCUTI, C O ANCUTI, C DE VLEESCHOUWER. D-HAZY: a dataset to evaluate quantitatively dehazing algorithms. AZ, 2226-2230(2016).

    [32] D W MARQUARDT. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11, 431-441(1963).

    [33] L B ZHANG, S WANG, X H WANG. Single image dehazing based on bright channel prior model and saliency analysis strategy. IET Image Processing, 15, 1023-1031(2021).

    [34] N HAUTIÈRE, J P TAREL, D AUBERT et al. Blind contrast enhancement assessment by gradient ratioing at visible edges. Image Analysis & Stereology, 27, 87(2011).

    [35] D J JOBSON, Z U RAHMAN, G A WOODELL. Statistics of visual representation, 4736, 25-35(4736).

    CLP Journals

    [1] Liduo SONG, Hongwen LI, Minghao WANG, Qingyun YANG, Shixue ZHANG, Chao WANG. EIS for ground-based imaging systems supporting scene switching perception[J]. Optics and Precision Engineering, 2024, 32(22): 3383

    [2] Huang HUANG, Huan OUYANG, Yang DONG, Xin HE, Xinghao ZHAO. Fast dehazing for large format oblique images based on improved dark channel prior[J]. Optics and Precision Engineering, 2025, 33(3): 476

    [3] Huang HUANG, Huan OUYANG, Yang DONG, Xin HE, Xinghao ZHAO. Fast dehazing for large format oblique images based on improved dark channel prior[J]. Optics and Precision Engineering, 2025, 33(3): 476

    [4] Liduo SONG, Hongwen LI, Minghao WANG, Qingyun YANG, Shixue ZHANG, Chao WANG. EIS for ground-based imaging systems supporting scene switching perception[J]. Optics and Precision Engineering, 2024, 32(22): 3383

    Tools

    Get Citation

    Copy Citation Text

    Jianwei LV, Feng QIAN, Haonan HAN, Bao ZHANG. Single image dehazing with sky segmentation and haze density estimation[J]. Optics and Precision Engineering, 2022, 30(4): 464

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Jun. 3, 2021

    Accepted: --

    Published Online: Mar. 4, 2022

    The Author Email: ZHANG Bao (zhangb@ciomp.edu.cn)

    DOI:10.37188/OPE.20223004.0464

    Topics