Image dehazing based on non-local saturation

Linlin Wang; Qian Zhang; Deyun Yang; Yingkun Hou; Xiaoting He

doi:10.1117/12.2305501

10 April 2018 Image dehazing based on non-local saturation

Linlin Wang, Qian Zhang, Deyun Yang, Yingkun Hou, Xiaoting He

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152I (2018) https://doi.org/10.1117/12.2305501
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

In this paper, a method based on non-local saturation algorithm is proposed to avoid block and halo effect for single image dehazing with dark channel prior. First we convert original image from RGB color space into HSV color space with the idea of non-local method. Image saturation is weighted equally by the size of fixed window according to image resolution. Second we utilize the saturation to estimate the atmospheric light value and transmission rate. Then through the function of saturation and transmission, the haze-free image is obtained based on the atmospheric scattering model. Comparing the results of existing methods, our method can restore image color and enhance contrast. We guarantee the proposed method with quantitative and qualitative evaluation respectively. Experiments show the better visual effect with high efficiency.

Citation Download Citation

Linlin Wang, Qian Zhang, Deyun Yang, Yingkun Hou, and Xiaoting He "Image dehazing based on non-local saturation", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152I (10 April 2018); https://doi.org/10.1117/12.2305501

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