[1] Li Yanxia. Smog conditions decreased quality image sharpening algorithm[D]. Xi′an: Xi′an Technological University, 2014.
[2] Nie Chao. Research on efficient algorithm for image enhancement based on histogram[D]. Hangzhou: Electronic University of Science and Technology of Hangzhou, 2014.
[3] Li Yi, Zhang Yunfeng, Zhang Qiang, et al.. Infrared image contrast enhancement based on haze remove method[J]. Chinese J Lasers, 2015, 42(1): 0113004.
[4] Zhao Wenda, Zhao Jian, Zhao Fan, et al.. Variable infrared image enhancement of bimodal Gaussian function specification [J]. Chinese J Lasers, 2014, 41(3): 0309002.
[5] Chen Zemao. Vehicle safety and driver assistance system based on omni vision platform design and implementation[D]. Guangzhou: South China University of Technology, 2014.
[6] Wang Jinyan. Algorithm based on improved dark channel prior to fog from surveillance video[D]. Xi′an: Xidian University, 2014.
[7] Sun Xiaoming, Sun Junxi, Zhao Lirong, et al.. Dark channel prior improved algorithm for a single image to fog[J]. Journal of Image and Graphics, 2014, 19(3): 381-385.
[8] Xue Yungang. Prior to dark color mist algorithm optimization and parallelization[D]. Changsha: National University of Defense Technology, 2012.
[10] Wang Feng. Image-guided filter in a single application to image restoration[D]. Hefei: Hefei University of Technology, 2012.
[11] Chen Long. Research on key technology of image processing in visual[D]. Xi′an: Xidian University, 2013.
[12] Ji Xiaoqiang. Study on clarity and recovery image to fog[D]. Changchun: University of Chinese Academy of Sciences (Changchun Institute of Optics and Fine Mechanics and Physics), 2012.
[13] Chu Ding. Haze image recovery based on dark channel prior[D]. Beijing: China University of Geosciences, 2013.
[14] Feng Weiyi, Chen Qian, He Weiji, et al.. A defogging method based on hyperspectral unmixing[J]. Acta Optica Sinica, 2015, 35(1): 0110002.
