A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 4 Issue 3
Jul.  2017

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 6.171, Top 11% (SCI Q1)
    CiteScore: 11.2, Top 5% (Q1)
    Google Scholar h5-index: 51, TOP 8
Turn off MathJax
Article Contents
Wencheng Wang and Xiaohui Yuan, "Recent Advances in Image Dehazing," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 410-436, July 2017. doi: 10.1109/JAS.2017.7510532
Citation: Wencheng Wang and Xiaohui Yuan, "Recent Advances in Image Dehazing," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 410-436, July 2017. doi: 10.1109/JAS.2017.7510532

Recent Advances in Image Dehazing

doi: 10.1109/JAS.2017.7510532
Funds:

the National Natural Science Foundation of China 61403283

Shandong Provincial Natural Science Foundation ZR2013FQ036

Shandong Provincial Natural Science Foundation ZR2015PE025

the Spark Program of China 2013GA740053

the Spark Program of Shandong Province 2013XH06034

the Technology Development Plan of Weifang City 201301015

More Information
  • Images captured in hazy or foggy weather conditions can be seriously degraded by scattering of atmospheric particles, which reduces the contrast, changes the color, and makes the object features difficult to identify by human vision and by some outdoor computer vision systems. Therefore image dehazing is an important issue and has been widely researched in the field of computer vision. The role of image dehazing is to remove the influence of weather factors in order to improve the visual effects of the image and provide benefit to post-processing. This paper reviews the main techniques of image dehazing that have been developed over the past decade. Firstly, we innovatively divide a number of approaches into three categories: image enhancement based methods, image fusion based methods and image restoration based methods. All methods are analyzed and corresponding sub-categories are introduced according to principles and characteristics. Various quality evaluation methods are then described, sorted and discussed in detail. Finally, research progress is summarized and future research directions are suggested.

     

  • loading
  • [1]
    H. Halmaoui, A. Cord, and N. Hautière, "Contrast restoration of road images taken in foggy weather, " in Proc. 2011 IEEE Int. Conf. Computer Vision Workshops, Barcelona, Spain, 2011, pp. 2057-2063. https://www.researchgate.net/publication/221430146_Contrast_restoration_of_road_images_taken_in_foggy_weather
    [2]
    S. Bronte, L. M. Bergasa, and P. F. Alcantarilla, "Fog detection system based on computer vision techniques, " in Proc. 12th Int. IEEE Conf. Intelligent Transportation Systems, St. Louis, MO, USA, 2009, pp. 1-6.
    [3]
    M. S. Shehata, J. Cai, W. M. Badawy, T. W. Burr, M. S. Pervez, R. J. Johannesson, and A. Radmanesh, "Video-based automatic incident detection for smart roads:The outdoor environmental challenges regarding false alarms, " IEEE Trans. Intell. Transp. Syst., vol. 9, no. 2, pp. 349-360, Jun. 2008.
    [4]
    S. C. Huang, B. H. Chen, and Y. J. Cheng, "An efficient visibility enhancement algorithm for road scenes captured by intelligent transportation systems, " IEEE Trans. Intell. Transp. Syst., vol. 15, no. 5, pp. 2321-2332, Oct. 2014.
    [5]
    S. C. Huang, "An advanced motion detection algorithm with video quality analysis for video surveillance systems, " IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 1, pp. 1-14, Jan. 2011.
    [6]
    B. Xie, F. Guo, and Z. X. Cai, "Universal strategy for surveillance video defogging, " Opt. Eng., vol. 51, no. 10, pp. 101703, May 2012.
    [7]
    Z. Jia, H. C. Wang, R. E. Caballero, Z. Y. Xiong, J. W. Zhao, and A. Finn, "A two-step approach to see-through bad weather for surveillance video quality enhancement, " Mach. Vis. Appl., vol. 23, no. 6, pp. 1059-1082, Nov. 2012.
    [8]
    I. Yoon, S. Kim, D. Kim, M. H. Hayes, and J. Paik, "Adaptive defogging with color correction in the HSV color space for consumer surveillance system, " IEEE Trans. Consum. Electron., vol. 58, no. 1, pp. 111-116, Feb. 2012.
    [9]
    K. B. Gibson, D. T. Vo, and T. Q. Nguyen, "An investigation of dehazing effects on image and video coding, " IEEE Trans. Image Proc., vol. 21, no. 2, pp. 662-673, Feb. 2012.
    [10]
    M. Chacon-Murguia and S. Gonzalez-Duarte, "An adaptive neuralfuzzy approach for object detection in dynamic backgrounds for surveillance systems, " IEEE Trans. on Industr. Electron., vol. 59, no. 8, pp. 3286-3298, Aug. 2012.
    [11]
    S. Y. Tao, H. J. Feng, Z. H. Xu, and Q. Li, "Image degradation and recovery based on multiple scattering in remote sensing and bad weather condition, " Opt. Express, vol. 20, no. 15, pp. 16584-16595, Jul. 2012.
    [12]
    J. Long, Z. W. Shi, W. Tang, and C. S. Zhang, "Single remote sensing image dehazing, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 59-63, Jan. 2014.
    [13]
    A. Makarau, R. Richter, R. Muller, and P. Reinartz, "Haze detection and removal in remotely sensed multispectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5895-5905, Sep. 2014.
    [14]
    J. Liu, X. Wang, M. Chen, S. G. Liu, X. R. Zhou, Z. F. Shao, and P. Liu, "Thin cloud removal from single satellite images, " Opt. Express, vol. 22, no. 1, pp. 618-632, Jan. 2014.
    [15]
    H. F. Li, L. P. Zhang, and H. F. Shen, "A principal component based haze masking method for visible images, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 5, pp. 975-979, May 2014.
    [16]
    X. X. Pan, F. Y. Xie, Z. G. Jiang, and J. H. Yin, "Haze removal for a single remote sensing image based on deformed haze imaging model, " IEEE Signal Process. Lett., vol. 22, no. 10, pp. 1806-1810, Oct. 2015.
    [17]
    L. X. Wang, W. X. Xie, and J. H. Pei, "Patch-based dark channel prior dehazing for RS multi-spectral image, " Chin. J. Electron., vol. 24, no. 3, pp. 573-578, Jul. 2015.
    [18]
    J. C. McCall and M. M. Trivedi, "Video-based lane estimation and tracking for driver assistance:Survey, system, and evaluation, " IEEE Trans. Intell. Transp. Syst., vol. 7, no. 1, pp. 20-37, Mar. 2006.
    [19]
    J. P. Tarel, N. Hautière, L. Caraffa, A. Cord, H. Halmaoui, and D. Gruyer, "Vision enhancement in homogeneous and heterogeneous fog, " IEEE Intell. Transp. Syst. Mag., vol. 4, no. 2, pp. 6-20, Apr. 2012.
    [20]
    M. Negru, S. Nedevschi, and R. I. Peter, "Exponential contrast restoration in fog conditions for driving assistance, " IEEE Trans. Intell. Transp. Syst., vol. 16, no. 4, pp. 2257-2268, Aug. 2015.
    [21]
    M. Pavlic, G. Rigoll, and S. Ilic, "Classification of images in fog and fog-free scenes for use in vehicles, " in Proc. 2013 IEEE Intelligent Vehicles Symposium, 2013, pp. 481-486.
    [22]
    N. Hautière, J. P. Tarel, H. Halmaoui, R. Bremond, and D. Aubert, "En-hanced fog detection and free-space segmentation for car navigation, " Mach. Vis. Appl., vol. 25, no. 3, pp. 667-679, Apr. 2014.
    [23]
    N. Hautière, J. P. Tarel, and D. Aubert, "Mitigation of visibility loss for advanced camera-based driver assistance, " IEEE Trans. Intell. Transp. Syst., vol. 11, no. 2, pp. 474-484, Jun. 2010.
    [24]
    N. Hautière, J. P. Tarel, and D. Aubert, "Towards fog-free in-vehicle vision systems through contrast restoration, " in Proc. 2007 IEEE Conf. Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 2007, pp. 1-8. https://www.computer.org/csdl/proceedings/cvpr/2007/1179/00/04270284.pdf
    [25]
    H. J. Song, Y. Z. Chen, and Y. Y. Gao, "Velocity calculation by automatic camera calibration based on homogenous fog weather condition, " Int. J. Autom. Comput., vol. 10, no. 2, pp. 143-156, Apr. 2013.
    [26]
    R. Spinneker, C. Koch, S. B. Park, and J. J. Yoon, "Fast fog detection for camera based advanced driver assistance systems, " in Proc. IEEE 17th Int. Conf. Intelligent Transportation Systems, Qingdao, China, 2014, pp. 1369-1374. http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=6957878
    [27]
    R. Sato, K. Domany, D. Deguchi, Y. Mekada, I. Ide, H. Murase, and Y. Tamatsu, "Visibility estimation of traffic signals under rainy weather conditions for smart driving support, " in Proc. 15th Int. IEEE Conf. Intelligent Transportation Systems, Anchorage, AK, USA, 2012, pp. 1321-1326. http://www.murase.nuie.nagoya-u.ac.jp/~murase/pdf/989-pdf.pdf
    [28]
    N. Carlevaris-Bianco, A. Mohan, and R. M. Eustice, "Initial results in underwater single image dehazing, " in Proc. 2010 IEEE OCEANS, Seattle, WA, USA, 2010, pp. 1-8. http://www.academia.edu/651930/Initial_results_in_underwater_single_image_dehazing
    [29]
    C. Ancuti, C. O. Ancuti, T. Haber, and P. Bekaert, "Enhancing underwater images and videos by fusion, " in Proc. 2012 IEEE Conf. Computer Vision and Pattern Recognition, Providence, RI, 2012, pp. 81-88. http://www.academia.edu/5232585/Enhancing_Underwater_Images_and_Videos_by_Fusion
    [30]
    J. Y. Chiang and Y. C. Chen, "Underwater image enhancement by wavelength compensation and dehazing, " IEEE Trans. Image Process., vol. 21, no. 4, pp. 1756-1769, Apr. 2012.
    [31]
    P. Drews, E. do Nascimento, F. Moraes, S. Botelho, and M. Campos, "Transmission estimation in underwater single images, " in Proc. 2013 IEEE Int. Conf. Computer Vision Workshops, Sydney, NSW, Australia, 2013, pp. 825-830. https://www.researchgate.net/publication/259432374_Transmission_Estimation_in_Underwater_Single_Images
    [32]
    H. M. Lu, Y. J. Li, and S. Serikawa, "Underwater image enhancement using guided trigonometric bilateral filter and fast automatic color correction, " in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VIC, Australia, 2013, pp. 3412-3416. https://www.researchgate.net/profile/Huimin_Lu2/publication/271426236_Underwater_image_enhancement_using_guided_trigonometric_bilateral_filter_and_fast_automatic_color_correction/links/5590f06a08ae47a3490eedd1.pdf
    [33]
    X. Y. Fu, P. X. Zhuang, Y. Huang, Y. H. Liao, X. P. Zhang, and X. H. Ding, "A retinex-based enhancing approach for single underwater image, " in Proc. 2014 IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 4572-4576. https://www.researchgate.net/publication/283092304_A_retinex-based_enhancing_approach_for_single_underwater_image
    [34]
    S. H. Sun, S. P. Fan, and Y. C. F. Wang, "Exploiting image structural similarity for single image rain removal, " in Proc. 2014 IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 4482-4486. http://mml.citi.sinica.edu.tw/papers/ICIP_2014_Sun.pdf
    [35]
    S. D. You, R. T. Tan, R. Kawakami, and K. Ikeuchi, "Adherent raindrop detection and removal in video, " in Proc. 2013 IEEE Conf. Computer Vision and Pattern Recognition, Portland, OR, USA, 2013, pp. 1035-1042. https://www.researchgate.net/publication/261301487_Adherent_Raindrop_Modeling_Detection_and_Removal_in_Video
    [36]
    M. Desvignes and G. Molinie, "Raindrops size from video and image processing, " in Proc. 19th IEEE Int. Conf. Image Processing, Orlando, FL, USA, 2012, pp. 1341-1344. https://www.researchgate.net/publication/261387159_Raindrops_size_from_video_and_image_processing
    [37]
    Z. Jia, H. C. Wang, R. Caballero, Z. Y. Xiong, J. W. Zhao, and A. Finn, "Real-time content adaptive contrast enhancement for see-through fog and rain, " in Proc. 2010 IEEE Int. Conf. Acoustics Speech and Signal Processing, Dallas, TX, USA, 2010, pp. 1378-1381. http://www.researchgate.net/profile/Hongcheng_Wang2/publication/220733692_Real-time_content_adaptive_contrast_enhancement_for_see-through_fog_and_rain/links/0a85e52f2b218cf326000000.pdf
    [38]
    K. Garg and S. K. Nayar, "When does a camera see rain?" in Proc. 10th IEEE Int. Conf. Computer Vision, Beijing, China, vol. 2, pp. 1067-1074, 2005.
    [39]
    H. Kawarabuki and K. Onoguchi, "Snowfall detection in a foggy scene, " in Proc. 22nd IEEE Int. Conf. Pattern Recognition, Stockholm, Sweden, 2014, pp. 877-882. doi: 10.1109/ICPR.2014.161
    [40]
    L. R. Bissonnette, "Imaging through fog and rain, " Opt. Eng., vol. 31, no. 5, pp. 1045-1052, May 1992.
    [41]
    C. T. Cai, Q. Y. Zhang, and Y. H. Liang, "A survey of image dehazing approaches, " in Proc. 27th Chinese Control and Decision Conf., Qingdao, China, 2015, pp. 3964-3969.
    [42]
    Q. Wang and R. K. Ward, "Fast image/video contrast enhancement based on weighted thresholded histogram equalization, " IEEE Trans. Consum. Electron., vol. 53, no. 2, pp. 757-764, May 2007.
    [43]
    R. Dale-Jones and T. Tjahjadi, "A study and modification of the local histogram equalization algorithm, " Pattern Recogn., vol. 26, no. 9, pp. 1373-1381, Sep. 1993.
    [44]
    M. F. Khan, E. Khan, and Z. A. Abbasi, "Segment dependent dynamic multi-histogram equalization for image contrast enhancement, " Digit. Signal Process., vol. 25, pp. 198-223, Feb. 2014.
    [45]
    T. Celik and T. Tjahjadi, "Contextual and variational contrast enhancement, " IEEE Trans. Image Process., vol. 20, no. 12, pp. 3431-3441, Dec. 2011.
    [46]
    T. K. Kim, J. K. Paik, and B. S. Kang, "Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering, " IEEE Trans. Consum. Electron., vol. 44, no. 1, pp. 82-87, Feb. 1998.
    [47]
    J. Y. Kim, L. S. Kim, and S. H. Hwang, "An advanced contrast enhancement using partially overlapped sub-block histogram equalization, " IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 4, pp. 475-484, Apr. 2001.
    [48]
    S. C. Huang and C. H. Yeh, "Image contrast enhancement for preserving mean brightness without losing image features, " Eng. Appl. Artif. Intell., vol. 26, no. 5-6, pp. 1487-1492, May-Jun. 2013.
    [49]
    H. T. Xu, G. T. Zhai, X. L. Wu, and X. K. Yang, "Generalized equalization model for image enhancement, " IEEE Trans. Multimed., vol. 16, no. 1, pp. 68-82, Jan. 2014.
    [50]
    L. J. Wang and R. Zhu, "Image defogging algorithm of single color image based on wavelet transform and histogram equalization, " Appl. Math. Sci., vol. 7, no. 79, pp. 3913-3921, 2013. http://m-hikari.com/ams/ams-2013/ams-77-80-2013/wangAMS77-80-2013.pdf
    [51]
    Z. Y. Xu, X. M. Liu, and N. Ji, "Fog removal from color images using contrast limited adaptive histogram equalization, " in Proc. 2nd IEEE Int. Congress on Image and Signal Processing, Tianjin, China, 2009, pp. 1-5. https://www.researchgate.net/publication/251905618_Fog_Removal_from_Color_Images_using_Contrast_Limited_Adaptive_Histogram_Equalization
    [52]
    M. F. Al-Sammaraie, "Contrast enhancement of roads images with foggy scenes based on histogram equalization, " in Proc. 10th Int. Conf. Computer Science & Education, Cambridge, UK, 2015, pp. 95-101. https://www.researchgate.net/publication/308822286_Contrast_enhancement_of_roads_images_with_foggy_scenes_based_on_histogram_equalization
    [53]
    G. Yadav, S. Maheshwari, and A. Agarwal, "Foggy image enhancement using contrast limited adaptive histogram equalization of digitally filtered image:Performance improvement, " in Proc. 2014 Int. Conf. Advances in Computing, Communications and Informatics, New Delhi, India, 2014, pp. 2225-2231. http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?reload=true&arnumber=6968569
    [54]
    E. H. Land and J. J. McCann, "Lightness and Retinex theory, " J. Opt. Soc. Am., vol. 61, no. 1, pp. 1-11, Jan. 1971.
    [55]
    T. J. Cooper and F. A. Baqai, "Analysis and extensions of the Frankle-McCann retinex algorithm, " J. Electron. Image, vol. 13, no. 1, pp. 85-92, Jan. 2004.
    [56]
    D. J. Jobson, Z. U. Rahman, and G. A. Woodell, "Properties and performance of a center/surround retinex, " IEEE Trans. Image Process., vol. 6, no. 3, pp. 451-462, Mar. 1997.
    [57]
    Z. U. Rahman, D. J. Jobson, and G. A. Woodell, "Multi-scale retinex for color image enhancement, " in Proc. IEEE Int. Conf. Image Processing, Lausanne, Switzerland, vol. 3, pp. 1003-1006, 1996. http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=BEABA35857368CF29FD7EAF1EAA9F6AF?doi=10.1.1.52.1669&rep=rep1&type=pdf
    [58]
    X. Xu, Q. Chen, P. A. Heng, H. J. Sun, and D. S. Xia, "A fast halo-free image enhancement method based on retinex, " J. Computer-Aided Des. Comput. Graph., vol. 20, no. 10, pp. 1325-1331, Oct. 2008.
    [59]
    W. T. Yang, R. G. Wang, S. Fang, and X. Zhang, "Variable filter retinex algorithm for foggy image enhancement, " J. Computer-Aided Des. Comput. Graph., vol. 22, no. 6, pp. 965-971, Jun. 2010.
    [60]
    W. W. Hu, R. G. Wang, S. Fang, and Q. Hu, "Retinex algorithm for image enhancement based on bilateral filtering, " J. Eng. Graph., vol. 31, no. 2, pp. 104-109, Apr. 2010.
    [61]
    X. Y. Hu, X. H. Gao, and H. B. Wang, "A novel retinex algorithm and its application to fog-degraded image enhancement, " Sens. Transd., vol. 175, no. 7, pp. 138-143, Jul. 2014.
    [62]
    T. Shu, Y. F. Liu, B. Deng, Y. P. Tan, and B. Q. Chen, "Multi-scale Retinex algorithm for the foggy image enhancement based on sub-band decomposition, " J. Jishou Univ., vol. 36, no. 1, pp. 40-45, Jan. 2015.
    [63]
    K. Zhang, C. C. Wu, J. X. Miao, and L. Z. Yi, "Research about using the retinex-based method to remove the fog from the road traffic video, " ICTIS 2013, pp. 861-867. https://www.researchgate.net/publication/269047606_Research_About_Using_the_Retinex-Based_Method_to_Remove_the_Fog_from_the_Road_Traffic_Video
    [64]
    M. J. Seow and V. K. Asari, "Ratio rule and homomorphic filter for enhancement of digital colour image, " Neurocomputing, vol. 69, no. 7-9, pp. 954-958, Mar. 2006.
    [65]
    W. T. Cai, Y. X. Liu, M. C. Li, L. Cheng, and C. X. Zhang, "A selfadaptive homomorphic filter method for removing thin cloud, " in Proc. 19th Int. Conf. Geoinformatics, Shanghai, China, 2011, pp. 1-4. https://www.researchgate.net/publication/241188232_A_self-adaptive_homomorphic_filter_method_for_removing_thin_cloud
    [66]
    L. L. Grewe and R. B. Richard, "Atmospheric attenuation reduction through multi-sensor fusion, " in Proc. SPIE Sensor Fusion:Architectures, Algorithms and Applications Ⅱ, Orlando, FL, vol. 3376, pp. 102-109, 1998. http://citeseerx.ist.psu.edu/showciting?cid=634053
    [67]
    F. Russo, "An image enhancement technique combining sharpening and noise reduction, " IEEE Trans. Instrum. Meas., vol. 51, no. 4, pp. 824-828, Aug. 2002.
    [68]
    Y. Du, B. Guindon, and J. Cihlar, "Haze detection and removal in high resolution satellite image with wavelet analysis, " IEEE Trans. Geosci. Remote Sens., vol. 40, no. 1, pp. 210-217, Jan. 2002.
    [69]
    S. D. Zhou, M. Wang, F. Huang, Z. H. Liu, and S. Ye, "Color image defogging based on intensity wavelet transform and color improvement, " J. Harbin Univ. Sci. Technol., vol. 16, no. 4, pp. 59-62, Aug. 2011.
    [70]
    R. Zhu and L. J. Wang, "Improved wavelet transform algorithm for single image dehazing, " Optik-Int. J. Light Electron Opt., vol. 125, no. 13, pp. 3064-3066, Jul. 2014.
    [71]
    N. Anantrasirichai, A. Achim, D. Bull, and N. Kingsbury, "Mitigating the effects of atmospheric distortion using DT-CWT fusion, " in Proc. 19th IEEE Int. Conf. Image Processing, Orlando, FL, USA, 2012, pp. 3033-3036. https://www.researchgate.net/publication/261387626_Mitigating_the_effects_of_atmospheric_distortion_using_DT-CWT_fusion
    [72]
    J. John and M. Wilscy, "Enhancement of weather degraded color images and video sequences using wavelet fusion, " in Advances in Electrical Engineering and Computational Science, S. L. Ao and L. Gelman, Eds. Netherlands:Springer, 2009, pp. 99-109. https://www.researchgate.net/publication/220977744_Enhancement_of_Weather_Degraded_Color_Images_and_Video_Sequences_Using_Wavelet_Fusion
    [73]
    J. L. Starck, F. Murtagh, E. J. Candes, and D. L. Donoho, "Gray and color image contrast enhancement by the curvelet transform, " IEEE Trans. Image Process., vol. 12, no. 6, pp. 706-717, Jun. 2003.
    [74]
    M. Verma, V. D. Kaushik, and V. K. Pathak, "An efficient deblurring algorithm on foggy images using curvelet transforms, " in Proc. 3rd Int. Symposium on Women in Computing and Informatics, New York, NY, USA, 2015, pp. 426-431. https://www.researchgate.net/publication/301377175_An_Efficient_Deblurring_Algorithm_on_Foggy_Images_using_Curvelet_Transforms
    [75]
    N. Salamati, A. Germain, and S. Susstrunk, "Removing shadows from images using color and near-infrared, " in Proc. 18th IEEE Int. Conf. Image Processing, Brussels, Belgium, 2011, pp. 1713-1716. https://www.researchgate.net/publication/221128690_Removing_shadows_from_images_using_color_and_near-infrared
    [76]
    L. Schaul, C. Fredembach, and S. Susstrunk, "Color image dehazing using the near-infrared, " in Proc. 16th IEEE Int. Conf. Image Processing, Cairo, Egypt, 2009, pp. 1629-1632. https://www.researchgate.net/publication/224114750_Color_image_dehazing_using_the_near-infrared
    [77]
    J. Son, H. Kwon, T. Shim, Y. Kim, S. Ahu, and K. Sohng, "Fusion method of visible and infrared images in foggy environment, " in Proc. Int. Conf. Image Processing, Computer Vision, and Pattern Recognition, 2015, pp. 433-437.
    [78]
    C. Feng, S. J. Zhuo, X. P. Zhang, L. Shen, and S. Susstrunk, "Nearinfrared guided color image dehazing, " in Proc. IEEE Int. Conf. Image Process., Melbourne, VIC, Australia, 2013, pp. 2363-2367.
    [79]
    C. O. Ancuti, C. Ancuti, and P. Bekaert, "Effective single image dehazing by fusion, " in Proc. 17th IEEE Int. Conf. Image Process., Hong Kong, China, 2010, pp. 3541-3544. https://www.researchgate.net/publication/224200195_Effective_Single_Image_Dehazing_by_Fusion
    [80]
    C. O. Ancuti and C. Ancuti, "Single image dehazing by multi-scale fusion, " IEEE Trans. Image Process., vol. 22, no. 8, pp. 3271-3282, Aug. 2013.
    [81]
    C. O. Ancuti, C. Ancuti, C. Hermans, and P. Bekaert, "Image and video decolorization by fusion, " Asian Conference on Computer Vision, R. Kimmel, R. Klette, and A. Sugimoto, Eds. Berlin Heidelberg, Germany:Springer-Verlag, 2011, pp. 79-92. https://www.researchgate.net/publication/220744991_Image_and_Video_Decolorization_by_Fusion
    [82]
    S. Fang, R. Deng, Y. Cao, and C. L. Fang, "Effective single underwater image enhancement by fusion, " J. Comput., vol. 8, no. 4, pp. 904-911, Apr. 2013.
    [83]
    Z. L. Ma, J. Wen, C. Zhang, Q. Y. Liu, and D. N. Yan, "An effective fusion defogging approach for single sea fog image, " Neurocomputing, vol. 173, pp. 1257-1267, Jan. 2016.
    [84]
    Z. Wang and Y. Feng, "Fast single haze image enhancement, " Comput. Electr. Eng., vol. 40, no. 3, pp. 785-795, Apr. 2014.
    [85]
    F. Guo, J. Tang, and Z. X. Cai, "Fusion strategy for single image dehazing, " Int. J. Digit. Content Technol. Appl., vol. 7, no. 1, pp. 19-28, Jan. 2013.
    [86]
    H. Zhang, X. Liu, Z. T. Huang, and Y. F. Ji, "Single image dehazing based on fast wavelet transform with weighted image fusion, " in Proc. 2014 IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 4542-4546. https://www.researchgate.net/publication/282949507_Single_image_dehazing_based_on_fast_wavelet_transform_with_weighted_image_fusion
    [87]
    J. P. Oakley and B. L. Satherley, "Improving image quality in poor visibility conditions using a physical model for contrast degradation, " IEEE Trans. Image Process., vol. 7, no. 2, pp. 167-179, Feb. 1998.
    [88]
    E. J. McCartney, Optics of the Atmosphere:Scattering by Molecules and Particles. New York, USA:John Wiley and Sons, Inc., 1976, pp. 1-42.
    [89]
    K. Tan and J. P. Oakley, "Physics-based approach to color image enhancement in poor visibility conditions, " J. Opt. Soc. Am. A, vol. 18, no. 10, pp. 2460-2467, 2001. doi: 10.1364/JOSAA.18.002460
    [90]
    K. Tan and J. P. Oakley, "Enhancement of color images in poor visibility conditions, " in Proc. 2000 Int. Conf. Image Processing, Vancouver, BC, Canada, 2000, pp. 788-791. https://www.researchgate.net/publication/2381868_Enhancement_Of_Color_Images_In_Poor_Visibility_Conditions
    [91]
    M. J. Robinson, D. W. Armitage, and J. P. Oakley, "Seeing in the mist:Real time video enhancement, " Sens. Rev., vol. 22, no. 2, pp. 157-161, Jun. 2002.
    [92]
    N. Hautière, J. P. Tarel, J. Lavenant, and D. Aubert, "Automatic fog detection and estimation of visibility distance through use of an onboard camera, " Mach. Vis. Appl., vol. 17, no. 1, pp. 8-20, Apr. 2006.
    [93]
    N. Hautière and D. Aubert, "Contrast restoration of foggy images through use of an onboard camera, " in Proc. 2005 IEEE Intelligent Transportation Systems, Vienna, Austria, 2005, pp. 601-606. https://www.researchgate.net/profile/Nicolas_Hautiere/publication/224621272_Contrast_restoration_of_foggy_images_through_use_of_an_onboard_camera/links/00b4952946b73862b9000000.pdf?origin=publication_list
    [94]
    N. Hautière, R. Labayrade, and D. Aubert, "Real-time disparity contrast combination for onboard estimation of the visibility distance, " IEEE Trans. Intell. Transp. Syst., vol. 7, no. 2, pp. 201-212, Jun. 2006.
    [95]
    J. Kopf, B. Neubert, B. Chen, M. F. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, "Deep photo:Model-based photograph enhancement and viewing, " ACM Trans. Graphics (TOG), vol. 27, no. 5, Article ID 116, 2008. https://dl.acm.org/purchase.cfm?id=1409069
    [96]
    S. G. Narasimhan and S. K. Nayar, "Interactive (de) weathering of an image using physical models, " in Proc. IEEE Workshop on Color and Photometric Methods in Computer Vision, pp. 1-8, 2003. http://www.academia.edu/21972442/Interactive_De_Weathering_of_an_Image_using_Physical_Models
    [97]
    Y. B. Sun, L. Xiao, Z. H. Wei, and H. Z. Wu, "Method of defogging image of outdoor scenes based on PDE, " J. Syst. Simul., vol. 19, no. 16, pp. 3739-3744, Aug. 2007.
    [98]
    K. T. Tang, J. C. Yang, and J. Wang, "Investigating haze-relevant features in a learning framework for image dehazing, " in Proc. 2014 IEEE Conf. Computer Vision and Pattern Recognition, Columbus, OH, Italy, 2014, pp. 2995-3002. https://www.researchgate.net/publication/286594615_Investigating_Haze-Relevant_Features_in_a_Learning_Framework_for_Image_Dehazing
    [99]
    K. B. Gibson, S. J. Belongie, and T. Q. Nguyen, "Example based depth from fog, " in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VIC, Australia, 2013, pp. 728-732. https://www.researchgate.net/publication/271555095_Example_based_depth_from_fog
    [100]
    Q. S. Zhu, J. M. Mai, and L. Shao, "Single image dehazing using color attenuation prior, " in Proc. 25th British Machine Vision Conference, 2014, pp. 1-10. https://www.researchgate.net/publication/288696731_Single_Image_Dehazing_Using_Color_Attenuation_Prior
    [101]
    Q. S. Zhu, J. M. Mai, and L. Shao, "A fast single image haze removal algorithm using color attenuation prior, " IEEE Trans. Image Process., vol. 24, no. 11, pp. 3522-3533, Nov. 2015.
    [102]
    Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, "Instant dehazing of images using polarization, " in Proc. 2001 IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Kauai, HI, USA, 2001, pp. 325-332. https://www.researchgate.net/publication/3940554_Instant_dehazing_of_images_using_polarization
    [103]
    Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, "Polarizationbased vision through haze, " Appl. Opt., vol. 42, no. 3, pp. 511-525, Feb. 2003.
    [104]
    S. Shwartz, E. Namer, and Y. Y. Schechner, "Blind haze separation, " in Proc. 2006 IEEE Computer Society Conf. Computer Vision and Pattern Recognition, New York, NY, USA, vol. 2, pp. 1984-1991, 2006. https://www.researchgate.net/publication/4246249_Blind_Haze_Separation
    [105]
    Y. Y. Schechner and Y. Averbuch, "Regularized image recovery in scattering media, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 9, pp. 1655-1660, Sep. 2007.
    [106]
    R. Kaftory, Y. Y. Schechner, and Y. Y. Zeevi, "Variational distancedependent image restoration, " in Proc. 2007 IEEE Conf. Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 2007, pp. 1-8.
    [107]
    F. Liu, L. Cao, X. P. Shao, P. L. Han, and X. L. Bin, "Polarimetric dehazing utilizing spatial frequency segregation of images, " Appl. Opt., vol. 54, no. 27, pp. 8116-8122, Sep. 2015.
    [108]
    S. Fang, X. S. Xia, H. Xing, and C. W. Chen, "Image dehazing using polarization effects of objects and airlight, " Opt. Express, vol. 22, no. 16, pp. 19523-19537, Aug. 2014.
    [109]
    E. Namer, S. Shwartz, and Y. Schechner, "Skyless polarimetric calibration and visibility enhancement, " Opt. Express, vol. 17, no. 2, pp. 472-493, Jan. 2009.
    [110]
    T. Treibitz and Y. Y. Schechner, "Polarization:Beneficial for visibility enhancement?, " in Proc. 2009 IEEE Conf. Computer Vision and Pattern Recognition, Media, Iran, 2009, pp. 525-532.
    [111]
    C. L. Li, W. J. Lu, S. Xue, Y. C. Shi, and X. N. Sun, "Quality assessment of polarization analysis images in foggy conditions, " in Proc. 2014 IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 551-555. https://www.researchgate.net/publication/282298959_Quality_assessment_of_polarization_analysis_images_in_foggy_conditions
    [112]
    D. Miyazaki, D. Akiyama, M. Baba, R. Furukawa, S. Hiura, and N. Asada, "Polarization-based dehazing using two reference objects, " in Proc. 2013 IEEE Int. Conf. Computer Vision Workshops, Washington, DC, USA, 2013, pp. 852-859. https://www.researchgate.net/publication/262172950_Polarization-Based_Dehazing_Using_Two_Reference_Objects
    [113]
    Y. Y. Schechner and N. Karpel, "Clear underwater vision, " in Proc. 2004 IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Washington, DC, USA, 2004, pp. 536-543. https://www.researchgate.net/publication/4082164_Clear_underwater_vision
    [114]
    Y. Y. Schechner and N. Karpel, "Recovery of underwater visibility and structure by polarization analysis, " IEEE J. Oceanic Eng., vol. 30, no. 3, pp. 570-587, Jul. 2005.
    [115]
    T. Treibitz and Y. Y. Schechner, "Active polarization descattering, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 3, pp. 385-399, Mar. 2009.
    [116]
    S. K. Nayar and S. G. Narasimhan, "Vision in bad weather, " in Proc. 7th IEEE Int. Conf. Computer Vision, Kerkyra, Greece, 1999, pp. 820-827.
    [117]
    S. G. Narasimhan and S. K. Nayar, "Chromatic framework for vision in bad weather, " in Proc. 2000 IEEE Conf. Computer Vision and Pattern Recognition, Hilton Head Island, SC, USA, 2000, pp. 598-605.
    [118]
    S. G. Narasimhan and S. K. Nayar, "Vision and the atmosphere, " Int. J. Comput. Vis., vol. 48, no. 3, pp. 233-254, Jul. 2002.
    [119]
    S. G. Narasimhan and S. K. Nayar, "Contrast restoration of weather degraded images, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 6, pp. 713-724, Jun. 2003.
    [120]
    S. G. Narasimhan and S. K. Nayar, "Removing weather effects from monochrome images, " in Proc. 2001 IEEE Computer Society Conf. Computer Vision and Pattern Recognition, Kauai, HI, USA, 2001, pp. 186-193. https://www.researchgate.net/publication/3940770_Removing_weather_effects_from_monochrome_images
    [121]
    J. Sun, J. Y. Jia, C. K. Tang, and H. Y. Shum, "Poisson matting, " ACM Trans. Graph., vol. 23, no. 3, pp. 315-321, Aug. 2004.
    [122]
    G. Chen, T. Wang, and H. Q. Zhou, "A novel physics-based method for restoration of foggy day images, " J. Image Graph., vol. 13, no. 5, pp. 885-893, May 2008.
    [123]
    D. Wu and Q. H. Dai, "Data-driven visibility enhancement using multi-camera system, " in Proc. SPIE Enhanced and Synthetic Vision, Orlando, Florida, USA, vol. 7689, Article ID 76890H, 2010. https://www.researchgate.net/publication/241373354_Data-Driven_visibility_enhancement_using_multi-camera_system
    [124]
    D. Wu and Q. S. Zhu, "The latest research progress of image dehazing, " Acta Autom. Sin., vol. 41, no. 2, pp. 221-239, Feb. 2015.
    [125]
    R. T. Tan, "Visibility in bad weather from a single image, " in Proc. 2008 IEEE Conf. Computer Vision and Pattern Recognition, Anchorage, AK, USA, 2008, pp. 1-8. https://www.researchgate.net/publication/221362812_Visibility_in_bad_weather_from_a_single_image
    [126]
    C. Ancuti and C. O. Ancuti, "Effective contrast-based dehazing for robust image matching, " IEEE Geosci. Remote Sens. Lett., vol. 11, no. 11, pp. 1871-1875, Nov. 2014.
    [127]
    M. Bertalmío, V. Caselles, E. Provenzi, and A. Rizzi, "Perceptual color correction through variational techniques, " IEEE Trans. Image Process., vol. 16, no. 4, pp. 1058-1072, Apr. 2007.
    [128]
    A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmio, "Enhanced variational image dehazing, " SIAM J. Imaging Sci., vol. 8, no. 3, pp. 1519-154, Feb. 2015.
    [129]
    A. Galdran, J. Vazquez-Corral, D. Pardo, and M. Bertalmio, "A variational framework for single image dehazing, " in Proc. 2014 Springer European Conf. Computer Vision, Zurich, Switzerland, 2014, pp. 259-270. https://www.researchgate.net/publication/265225260_A_Variational_Framework_for_Single_Image_Dehazing
    [130]
    R. Fattal, "Single image dehazing, " ACM Trans. Graph. (TOG), vol. 27, no. 3, Article ID 72, Aug. 2008.
    [131]
    R. Fattal, "Dehazing using color-lines, " ACM Trans. Graph. (TOG), vol. 34, no. 1, Article ID 13, Nov. 2014.
    [132]
    R. Fattal, "Dehazing using color-lines," ACM Trans. Graph. (TOG), vol. 34, no. 1, Article ID 13, Nov. 2014.
    [133]
    L. Kratz and K. Nishino, "Factorizing scene albedo and depth from a single foggy image," in Proc. IEEE 12th Int. Conf. Computer Vision, Kyoto, Japan, 2009, pp. 1701-1708.
    [134]
    K. Nishino, L. Kratz, and S. Lombardi, "Bayesian defogging," Int. J. Computer Vis., vol. 98, no. 3, pp. 263-278, Jul. 2012. doi: 10.1007/978-3-642-37447-0_2
    [135]
    L. Caraffa and J. P. Tarel, "Stereo reconstruction and contrast restoration in daytime fog," in Proc. 11th Asia Conf. Computer Vision, Daejeon, Korea, 2013, pp. 13-25.
    [136]
    L. Caraffa and J. P. Tarel, "Markov random field model for single image defogging," in Proc. 2013 IEEE Intelligent Vehicles Symposium, Gold Coast, QLD, Australia, 2013, pp. 994-999.
    [137]
    D. Nan, D. Y. Bi, C. Liu, S. P. Ma, and L. Y. He, "A Bayesian framework for single image dehazing considering noise," Sci. World J., Vol. 2014, Article ID 651986, 2014.
    [138]
    L. Mutimbu and A. Robles-Kelly, "A relaxed factorial Markov random field for colour and depth estimation from a single foggy image," in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VIC, Australia, 2013, pp. 355-359.
    [139]
    X. M. Dong, X. Y. Hu, S. L. Peng, and D. C. Wang, "Single color image dehazing using sparse priors," in Proc. 17th IEEE Int. Conf. Image Processing, Hong Kong, China, 2010, pp. 3593-3596.
    [140]
    J. W. Zhang, L. Li, G. Q. Yang, Y. Zhang, and J. Z. Sun, "Local albedoinsensitive single image dehazing," Vis. Comput., vol. 26, no. 6-8, pp. 761-768, Jun. 2010.
    [141]
    J. W. Zhang, L. Li, Y. Zhang, G. Q. Yang, X. C. Cao, and J. Z. Sun, "Video dehazing with spatial and temporal coherence," Vis. Comput., vol. 27, no. 6-8, pp. 749-757, Jun. 2011.
    [142]
    Y. K. Wang and C. T. Fan, "Single image defogging by multiscale depth fusion," IEEE Trans. Image Process., vol. 23, no. 11, pp. 4826-4837, Nov. 2014.
    [143]
    K. M. He, J. Sun, and X. O. Tang, "Single image haze removal using dark channel prior," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, New York, USA, 2009, pp. 1956-1963.
    [144]
    K. M. He, J. Sun, and X. O. Tang, "Single image haze removal using dark channel prior," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 12, pp. 2341-2353, Dec. 2011.
    [145]
    A. Levin, D. Lischinski, and Y. Weiss, "A closed-form solution to natural image matting," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 2, pp. 228-242, Feb. 2008.
    [146]
    K. B. Gibson and T. Q. Nguyen, "On the effectiveness of the dark channel prior for single image dehazing by approximating with minimum volume ellipsoids," in Proc. IEEE Int. Conf. Acoustics, Speech, and Single Processing, Prague, Czech Republic, 2011, pp. 1253-1256.
    [147]
    K. B. Gibson and T. Q. Nguyen, "An analysis of single image defogging methods using a color ellipsoid framework," EURASIP J. Image Video Process., vol. 2013, pp. 37, Jan. 2013.
    [148]
    D. Park, D. K. Han, and H. Ko, "Single image haze removal with WLS-based edge-preserving smoothing filter," in Proc. 2013 IEEE Int. Conf. Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 2013, pp. 2469-2473.
    [149]
    J. Yu, C. B. Xiao, and D. P. Li, "Physics-based fast single image fog removal," in Proc. IEEE 10th Int. Conf. Signal Processing, Beijing, China, 2010, pp. 1048-1052.
    [150]
    C. H. Yeh, L. W. Kang, M. S. Lee, and C. Y. Lin, "Haze effect removal from image via haze density estimation in optical model," Opt. Express, vol. 21, no. 22, pp. 27127-27141, Nov. 2013.
    [151]
    S. Fang, J. Q. Zhan, Y. Cao, and R. Z. Rao, "Improved single image dehazing using segmentation," in Proc. 17th IEEE Int. Conf. Image Processing, Hong Kong, China, 2010, pp. 3589-3592.
    [152]
    F. C. Cheng, C. H. Lin, and J. L. Lin, "Constant time O(1) image fog removal using lowest level channel," Electron. Lett., vol. 48, no. 22, pp. 1404-1406, Oct. 2012.
    [153]
    L. Chen, B. L. Guo, J. Bi, and J. J. Zhu, "Algorithm of single image fog removal based on joint bilateral filter," J. Beijing Univ. Posts Telecomm., vol. 35, no. 4, pp. 19-23, Aug. 2012.
    [154]
    S. Serikawa and H. M. Lu, "Underwater image dehazing using joint trilateral filter," Comput. Electr. Eng., vol. 40, no. 1, pp. 41-50, Jan. 2014.
    [155]
    K. M. He, J. Sun, and X. O. Tang, "Guided image filtering," in Proc. 11th European Conf. Computer Vision, Berlin Heidelberg, Germany, 2010, pp. 1-14.
    [156]
    K. M. He, J. Sun, and X. O. Tang, "Guided image filtering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 6, pp. 1397-1409, Jun. 2013.
    [157]
    R. J. Gao, X. Fan, J. L. Zhang, and Z. X. Luo, "Haze filtering with aerial perspective," in Proc. 19th IEEE Int. Conf. Image Processing, Orlando, FL, USA, 2012, pp. 989-992.
    [158]
    F. Guo, J. Tang, and Z. X. Cai, "Image dehazing based on haziness analysis," Int. J. Com., vol. 11, no. 1, pp. 78-86, Feb. 2011.
    [159]
    J. H. Kim, W. D. Jang, J. Y. Sim, and C. S. Kim, "Optimized contrast enhancement for real-time image and video dehazing," J. Vis. Commun. Image Represent., vol. 24, no. 3, pp. 410-425, Apr. 2013.
    [160]
    C. Feng, F. P. Da, and C. X. Wang, "Single image dehazing using dark channel prior and adjacent region similarity," in Proc. Chinese Conf. Pattern Recognition, Beijing, China, 2012, pp. 463-470.
    [161]
    Z. L. Ma, J. Wen, and L. L. Hao, "Video image defogging algorithm for surface ship scenes," Syst. Eng. Electron., vol. 36, no. 9, pp. 1860-1867, 2014.
    [162]
    Z. G. Li, J. H. Zheng, Z. J. Zhu, W. Yao, and S. Q. Wu, "Weighted guided image filtering," IEEE Trans. Image Process., vol. 24, no. 1, pp. 120-129, Jan. 2015.
    [163]
    Z. G. Li and J. H. Zheng, "Edge-preserving decomposition-based single image haze removal," IEEE Trans. Image Process., vol. 24, no. 12, pp. 5432-5441, Dec. 2015.
    [164]
    Z. G. Li, J. H. Zheng, W. Yao, and Z. J. Zhu, "Single image haze removal via a simplified dark channel," in Proc. 2015 IEEE Int.Conf. Acoustics, Speech and Signal Processing, South Brisbane, QLD, Australia, 2015, pp. 1608-1612.
    [165]
    J. B. Wang, N. He, L. L. Zhang, and K. Lu, "Single image dehazing with a physical model and dark channel prior," Neurocomputing, vol. 149, pp. 718-728, Feb. 2015.
    [166]
    A. K. Tripathi and S. Mukhopadhyay, "Single image fog removal using anisotropic diffusion," IET Image Process., vol. 6, no. 7, pp. 966-975, Oct. 2012.
    [167]
    F. M. Fang, F. Li, and T. Y. Zeng, "Single image Dehazing and Denoising:A fast variational approach," SIAM J. Imaging Sci., vol. 7, no. 2, pp. 969-996, Apr. 2014.
    [168]
    B. Li, S. H. Wang, J. Zheng, and L. P. Zheng, "Single image haze removal using content-adaptive dark channel and post enhancement," IET Comput. Vis., vol. 8, no. 2, pp. 131-140, Apr. 2014.
    [169]
    Y. H. Shiau, H. Y. Yang, P. Y. Chen, and Y. Z. Chuang, "Hardware implementation of a fast and efficient haze removal method," IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 8, pp. 1369-1374, Aug. 2013.
    [170]
    W. Sun, B. L. Guo, D. J. Li, and W. Jia, "Fast single-image dehazing method for visible-light systems," Opt. Eng., vol. 52, no. 9, pp. 093103, May 2013.
    [171]
    M. Ding and R. F. Tong, "Efficient dark channel based image dehazing using quadtrees," Sci. China Inf. Sci., vol. 56, no. 9, pp. 1-9, Sep. 2013.
    [172]
    X. M. Zhu, Y. Li, and Y. Qiao, "Fast single image dehazing through edge-guided interpolated filter," in Proc. 14th IAPR Int. Conf. Machine Vision Applications, Tokyo, Japan, 2015, pp. 443-446.
    [173]
    K. B. Gibson and T. Q. Nguyen, "Fast single image fog removal using the adaptive wiener filter," in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VI, Australia, 2013, pp. 714-718.
    [174]
    S. C. Huang, B. H. Chen, and W. J. Wang, "Visibility restoration of single hazy images captured in real-world weather conditions," IEEE Trans. Circuits Syst. Video Technol., vol. 24, no. 10, pp. 1814-1824, Oct. 2014.
    [175]
    S. C. Huang, J. H. Ye, and B. H. Chen, "An advanced single-image visibility restoration algorithm for real-world hazy scenes," IEEE Trans. Industr. Electron., vol. 62, no. 5, pp. 2962-2972, May 2015.
    [176]
    J. G. Wang, S. C. Tai, and C. J. Lin, "Image haze removal using a hybrid of fuzzy inference system and weighted estimation," J. Electron Imaging, vol. 24, no. 3, Article ID 033027, Jun. 2015.
    [177]
    W. Sun, "A new single-image fog removal algorithm based on physical model," Optik-Int. J. Light Electron Opt., vol. 124, no. 21, pp. 4770-4775, Nov. 2013.
    [178]
    W. Sun, H. Wang, C. H. Sun, B. L. Guo, W. Y. Jia, and M. G. Sun, "Fast single image haze removal via local atmospheric light veil estimation," Comput. Electr. Eng., vol. 46, pp. 371-383, Aug. 2015.
    [179]
    H. B. Liu, J. Yang, Z. P. Wu, and Q. N. Zhang, "Fast single image dehazing based on image fusion," J. Electron. Imaging, vol. 24, Article ID 013020, Jan. 2015.
    [180]
    W. Wang, W. H. Li, Q. J. Guan, and M. Qi, "Multiscale single image dehazing based on adaptive wavelet fusion," Math. Probl. Eng., vol. 2015, Article ID 131082, May 2015.
    [181]
    Y. H. Shiau, P. Y. Chen, H. Y. Yang, C. H. Chen, and S. S. Wang, "Weighted haze removal method with halo prevention," J. Visual Commun. Image Represent., vol. 25, no. 2, pp. 445-453, Feb. 2014.
    [182]
    J. Chen and L. P. Chau, "An enhanced window-variant dark channel prior for depth estimation using single foggy image," in Proc. IEEE Int. Conf. Image Processing, Melbourne, VIC, Australia, 2013, pp. 3508-3512.
    [183]
    T. H. Kil, S. H. Lee, and N. I. Cho, "Single image dehazing based on reliability map of dark channel prior," in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VIC, Australia, 2013, pp. 882-885.
    [184]
    D. Wang and J. Zhu, "Fast smoothing technique with edge preservation for single image dehazing," IET Comput. Vis., vol. 9, no. 6, pp. 950-959, Dec. 2015.
    [185]
    G. F. Meng, Y. Wang, J. Y. Duan, S. M. Xiang, and C. H. Pan, "Efficient image dehazing with boundary constraint and contextual regularization," in Proc. 2013 IEEE Int. Conf. Computer Vision, Sydney, NSW, Australia, 2013, pp. 617-624.
    [186]
    B. H. Chen, S. C. Huang, and J. H. Ye, "Hazy image restoration by bi-histogram modification," ACM Trans. Intell. Syst. Technol., vol. 6, no. 4, Article ID 50, Jul. 2015.
    [187]
    B. H. Chen and S. C. Huang, "An advanced visibility restoration algorithm for single hazy images," ACM Trans. Multimed. Comput. Commun. Appl. (TOMM), vol. 11, no. 4, Article ID 53, Apr. 2015.
    [188]
    C. O. Ancuti, C. Ancuti, C. Hermans, and P. Bekaert, "A fast semiinverse approach to detect and remove the haze from a single image," in Proc. 10th Asian Conf. Computer Vision, Berlin, Heidelberg, Germany, 2010, pp. 501-514.
    [189]
    Y. Y. Gao, H. M. Hu, S. H. Wang, and B. Li, "A fast image dehazing algorithm based on negative correction," Signal Process., vol. 103, pp. 380-398, Oct. 2014.
    [190]
    J. F. Li, H. Zhang, D. Yuan, and H. L. Wang, "Haze removal from single images based on a luminance reference model," in Proc. 2nd Asian Conf. Pattern Recognition, Naha, Japan, 2013, pp. 446-450.
    [191]
    S. C. Pei and T. Y. Lee, "Nighttime haze removal using color transfer pre-processing and dark channel prior," in Proc. 19th IEEE Int. Conf. Image Processing, Orlando, FL, USA, 2012, pp. 957-960.
    [192]
    J. Zhang, Y. Cao, and Z. F. Wang, "Nighttime haze removal based on a new imaging model," in Proc. 2014 IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 4557-4561.
    [193]
    X. S. Jiang, H. X. Yao, S. P. Zhang, X. S. Lu, and W. Zeng, "Night video enhancement using improved dark channel prior," in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VIC, Australian, 2013, pp. 553-557.
    [194]
    J. P. Tarel and N. Hautiere, "Fast visibility restoration from a single color or gray level image," in Proc. IEEE 12th Int. Conf. Computer Vision, Kyoto, Japan, 2009, pp. 2201-2208.
    [195]
    K. B. Gibson and T. Q. Nguyen, "Hazy image modeling using color ellipsoids," in Proc. 18th IEEE Int. Conf. Image Processing, Brussels, Belgium, 2011, pp. 1861-1864.
    [196]
    J. Yu and Q. M. Liao, "Fast single image fog removal using edgepreserving smoothing," in Proc. 2011 IEEE Int. Conf. Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011, pp. 1245-1248.
    [197]
    C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," in Proc. 6th IEEE Int. Conf. Computer Vision, Bombay, India, 1998, pp. 839-846.
    [198]
    H. Y. Zhao, C. B. Xiao, J. Yu, and X. J. Xu, "Single image fog removal based on local extrema," IEEE/CAA J. Autom. Sin., vol. 2, no. 2, pp. 158-165, Apr. 2015.
    [199]
    C. X. Xiao and J. J. Gan, "Fast image dehazing using guided joint bilateral filter," Vis. Comput., vol. 28, no. 6-8, pp. 713-721, Jun. 2012.
    [200]
    J. Kopf, M. F. Cohen, D. Lischinski, and M. Uyttendaele, "Joint bilateral upsampling," ACM Trans. Graph., vol. 26, no. 3, Article ID 96, Jul. 2007.
    [201]
    L. C. Bao, Y. B. Song, Q. X. Yang, and N. Ahuja, "An edge-preserving filtering framework for visibility restoration," in Proc. 21st Int. Conf. Pattern Recognition, Tsukuba, Japan, 2012, pp. 384-387.
    [202]
    Q. Yan, L. Xu, and J. Y. Jia, "Dense scattering layer removal," in Proc. ACM SIGGRAPH Asia 2013 Technical Briefs, New York, NY, USA, 2013.
    [203]
    X. Liu, F. X. Zeng, Z. T. Huang, and Y. F. Ji, "Single color image dehazing based on digital total variation filter with color transfer," in Proc. 20th IEEE Int. Conf. Image Processing, Melbourne, VIC, Australia, 2013, pp. 909-913.
    [204]
    M. Negru, S. Nedevschi, and R. I. Peter, "Exponential image enhancement in daytime fog conditions," in Proc. 17th IEEE Int. Conf. Intelligent Transportation Systems, Qingdao, China, 2014, pp. 1675-1681.
    [205]
    J. F. Li, H. Zhang, D. Yuan, and M. G. Sun, "Single image dehazing using the change of detail prior," Neurocomputing, vol. 156, pp. 1-11, May 2015.
    [206]
    J. H. Kim, J. Y. Sim, and C. S. Kim, "Single image dehazing based on contrast enhancement," in Proc. 2011 IEEE Int. Conf. Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011, pp. 1273-1276.
    [207]
    H. Park, D. Park, D. K. Han, and H. Ko, "Single image haze removal using novel estimation of atmospheric light and transmission," in Proc. IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 4502-4506.
    [208]
    H. Park, D. Park, D. K. Han, and H. Ko, "Single image dehazing with image entropy and information fidelity," in Proc. 2014 IEEE Int. Conf. Image Processing, Paris, France, 2014, pp. 4037-4041.
    [209]
    Y. S. Lai, Y. L. Chen, and C. T. Hsu, "Single image dehazing with optimal transmission map," in Proc. 21st IEEE Int. Conf. Pattern Recognition, Tsukuba, Japan, 2012, pp. 388-391.
    [210]
    Y. H. Lai, Y. L. Chen, C. J. Chiou, and C. T. Hsu, "Single-image dehazing via optimal transmission map under scene priors," IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 1, pp. 1-14, Jan. 2015.
    [211]
    M. Pedone and J. Heikkilä, "Robust airlight estimation for haze removal from a single image," in Proc. 2011 IEEE Computer Society Conf. Computer Vision and Pattern Recognition Workshops, Colorado Springs, CO, USA, 2011, pp. 90-96.
    [212]
    F. C. Cheng, C. C. Cheng, P. H. Lin, and S. C. Huang, "A hierarchical airlight estimation method for image fog removal," Eng. Appl. Artif. Intell., vol. 43, pp. 27-34, Aug. 2015.
    [213]
    T. O. Aydin, R. Mantiuk, K. Myszkowski, and H. S. Seidel, "Dynamic range independent image quality assessment," ACM Trans. Graph. (TOG), vol. 27, no. 3, Article ID 69, Aug. 2008.
    [214]
    K. Q. Huang, Q. Wang, and Z. Y. Wu, "Natural color image enhancement and evaluation algorithm based on human visual system," Comput. Vis. Image Underst., vol. 103, no. 1, pp. 52-63, Jul. 2006.
    [215]
    B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada, " Color and texture descriptors," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 6, pp. 703-715, Jun. 2001.
    [216]
    K. D. Ma, W. T. Liu, and Z. Wang, "Perceptual evaluation of single image dehazing algorithms," in Proc. 2015 IEEE Int. Conf. Image Processing, Quebec City, QC, Canada, 2015, pp. 3600-3604.
    [217]
    A. K. Moorthy and A. C. Bovik, "A two-step framework for constructing blind image quality indices," IEEE Signal Process. Lett., vol. 17, no. 5, pp. 513-516, May 2010.
    [218]
    A. Mittal, A. K. Moorthy, and A. C. Bovik, "No-reference image quality assessment in the spatial domain," IEEE Trans. Image Process., vol. 21, no. 12, pp. 4695-4708, Dec. 2012.
    [219]
    A. Mittal, R. Soundararajan, and A. C. Bovik, "Making a completely blind image quality analyzer," IEEE Signal Process. Lett., vol. 20, no. 3, pp. 209-212, Mar. 2013.
    [220]
    M. A. Saad, A. C. Bovik, and C. Charrier, "Blind image quality assessment:A natural scene statistics approach in the dct domain," IEEE Trans. Image Process., vol. 21, no. 8, pp. 3339-3352, Aug. 2012.
    [221]
    Q. B. Wu, H. L. Li, K. N. Ngan, B. Zeng, and M. Gabbouj, "No reference image quality metric via distortion identification and multichannel label transfer," in Proc. 2014 IEEE Int. Symposium on Circuits and Systems, Melbourne VIC, Australia, 2014, pp. 530-533.
    [222]
    Y. M. Fang, K. D. Ma, Z. Wang, W. S. Lin, Z. J. Fang, and G. T. Zhai, "No-reference quality assessment of contrast-distorted images based on natural scene statistics," IEEE Signal Process. Lett., vol. 22, no. 7, pp. 838-842, Jul. 2015.
    [223]
    Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment:From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
    [224]
    N. Hautiere, J. P. Tarel, D. Aubert, and E. Dumont, "Blind contrast enhancement assessment by gradient ratioing at visible edges," Image Anal. Stereol. J., vol. 27, no. 2, pp. 87-95, Jun. 2008.
    [225]
    L. K. Choi, J. You, and A. C. Bovik, "Referenceless prediction of perceptual fog density and perceptual image defogging," IEEE Trans. Image Process., vol. 24, no. 11, pp. 3888-3901, Nov. 2015
    [226]
    D. P. Li, J. Yu, and C. B. Xiao, "No-reference quality assessment method for defogged images," J. Image Graph., vol. 16, no. 9, pp. 1753-1757, Sep. 2011.
    [227]
    F. Guo and Z. X. Cai, "Objective assessment method for the clearness effect of image defogging algorithm," Acta Autom. Sin., vol. 38, no. 9, pp. 1410-1419, Sep. 2012.

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(20)  / Tables(4)

    Article Metrics

    Article views (2505) PDF downloads(555) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return