| Citation: | Yan YANG, Zhiwei WANG. Adaptive Image Dehazing Algorithm Based on Mean Unequal Relation Optimization[J]. Journal of Electronics & Information Technology, 2020, 42(3): 755-763. doi: 10.11999/JEIT190368
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In view of shortcomings of dark channel prior dehazing methods, such as transmission in sky areas is small and halo effects are prone to occur in the edges, this paper proposes a novel and efficient dehazing algorithm. Firstly, the fan-shaped model with dark channel map of haze-free image is established by geometric analysis. Then a new Gaussian mean function is set to estimate the boundary values of the model and its standard deviation is adaptive processing. Mean-value unequal relationship is also introduced to approximate the two-sided boundary, which is used to fit the most excellent dark channel map of haze-free, further obtains the best transmission. At the same time the local atmospheric light is improved to recover the final result. Experimental results show that the proposed method can be widely applied to all kinds of images compared with other classical algorithms. The degree of dehazing is thorough, final result is clear and natural. More importantly, it is favorable for real-time processing that has low time complexity.
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周妍, 李庆武, 霍冠英. 基于非下采样Contourlet变换系数直方图匹配的自适应图像增强[J]. 光学 精密工程, 2014, 22(8): 2214–2222. doi: 10.3788/OPE.20142208.2214
ZHOU Yan, LI Qingwu, and HUO Guanying. Adaptive image enhancement based on NSCT coefficient histogram matching[J]. Optics and Precision Engineering, 2014, 22(8): 2214–2222. doi: 10.3788/OPE.20142208.2214
|
|
CHEN Yang, LI Dan, and ZHANG Jianqiu. Complementary color wavelet: A novel tool for the color image/video analysis and processing[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(1): 12–27. doi: 10.1109/TCSVT.2017.2776239
|
|
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.c140748
LIU Haibo, YANG Jie, WU Zhengping, 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. doi: 10.16383/j.aas.2015.c140748
|
|
SCHECHNER Y Y, NARASIMHAN S G, and NAYAR S K. Polarization-based vision through haze[J]. Applied Optics, 2003, 42(3): 511–525. doi: 10.1364/AO.42.000511
|
|
NARASIMHAN S G and NAYAR S K. Interactive (de) weathering of an image using physical models[C]. 2003 IEEE Workshop on Color and Photometric Methods in Computer Vision, Nice, France, 2003: 1–8.
|
|
TAN R T. Visibility in bad weather from a single image[C]. 2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, USA, 2008: 1–8. doi: 10.1109/CVPR.2008.4587643.
|
|
FATTAL R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3): 72. doi: 10.1145/1360612.1360671
|
|
TAREL J P and HAUTIÈRE N. Fast visibility restoration from a single color or gray level image[C]. The 12th IEEE International Conference on Computer Vision, Kyoto, Japan, 2009: 2201–2208.
|
|
HE Kaiming, SUN Jian, and TANG Xiaoou. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341–2353. doi: 10.1109/TPAMI.2010.168
|
|
ZHU Qingsong, MAI Jiaming, and SHAO Ling. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522–3533. doi: 10.1109/TIP.2015.2446191
|
|
MENG Gaofeng, WANG Ying, DUAN Jiangyong, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]. 2013 IEEE International Conference on Computer Vision, Sydney, Australia, 2013: 617–624.
|
|
CAI Bolun, XU Xiangmin, JIA Kui, et al. DehazeNet: An end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing, 2016, 25(11): 5187–5198. doi: 10.1109/TIP.2016.2598681
|
|
REN Wenqi, LIU Si, ZHANG Hua, et al. Single image dehazing via multi-scale convolutional neural networks[C]. The 14th European Conference on Computer Vision, Amsterdam, The Netherlands, 2016: 154–169.
|
|
江巨浪, 孙伟, 王振东, 等. 基于透射率权值因子的雾天图像融合增强算法[J]. 电子与信息学报, 2018, 40(10): 2388–2394. doi: 10.11999/JEIT171032
JIANG Julang, SUN Wei, WANG Zhendong, et al. Integrated enhancement algorithm for hazy image using transmittance as weighting factor[J]. Journal of Electronics &Information Technology, 2018, 40(10): 2388–2394. doi: 10.11999/JEIT171032
|
|
HE Kaiming, SUN Jian, and TANG Xiaoou. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397–1409. doi: 10.1109/TPAMI.2012.213
|
|
SUN Wei, WANG Hao, SUN Changhao, et al. Fast single image haze removal via local atmospheric light veil estimation[J]. Computers & Electrical Engineering, 2015, 46: 371–383. doi: 10.1016/j.compeleceng.2015.02.009
|
|
MIN Xiongkuo, ZHAI Guangtao, GU Ke, et al. Objective quality evaluation of dehazed images[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(8): 2879–2892. doi: 10.1109/TITS.2018.2868771
|
|
杨爱萍, 王南, 庞彦伟, 等. 人工光源条件下夜间雾天图像建模及去雾[J]. 电子与信息学报, 2018, 40(6): 1330–1337. doi: 10.11999/JEIT170704
YANG Aiping, WANG Nan, PANG Yanwei, et al. Nighttime haze removal based on new imaging model with artificial light sources[J]. Journal of Electronics &Information Technology, 2018, 40(6): 1330–1337. doi: 10.11999/JEIT170704
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