Simultaneous Dehazing and Denoising of Single Hazing Image
FANG Shuai1,2, WANG Feng1, ZHAN Ji Qing1, CAO Yang3, YUAN Hong Wu2, RAO Rui Zhong2
1.College of Computer and Information, Hefei University of Technology, Hefei 230009
2.Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031
3.Department of Automation, University of Science and Technology of China, Hefei 230027
Various noise exists in images in practice, which brings great influence on dehazing results. Aiming at this, single image dehazing algorithm is proposed which can realize simultaneous dehazing and denoising based on joint bilateral filter. Firstly, the initial rough transmission map is estimated based on dark prior. Then, a joint bilateral filter is applied to refine the rough transmission map under the guidance of original image, which decreases the halo artifacts in the dehazing image effectively. Next, another bilateral filter is applied to obtain the dehzaing image, which can realize image denoising at the same time. Finally, a color factor is introduced into the bilateral filtering process to deal with the color distort problem. Various contrastive experimental results verify that the proposed algorithm realizes single image dehazing and denoising simultaneously with low computational costs. Besides, the color factor brings abundant chromatic details in the dehazing results.
方帅，王峰，占吉清，曹洋，袁宏武饶瑞中. 单幅雾天图像的同步去噪与复原[J]. 模式识别与人工智能, 2012, 25(1): 136-142.
FANG Shuai, WANG Feng, ZHAN Ji Qing, CAO Yang, YUAN Hong Wu, RAO Rui Zhong. Simultaneous Dehazing and Denoising of Single Hazing Image. , 2012, 25(1): 136-142.
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2012, Vol. 25 
