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Proceedings Paper

Reducing the loss of color and details in single image defogging
Author(s): Wei Xie; Huanjun Hu; Liming Wang; Chi Li; Zhigang Tu
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Paper Abstract

In order to avoid the problem that the color distortion and the details are not obvious, this paper presents an improved defogging algorithm. It uses the dark channel prior to estimate the atmospheric light and the transmission and proposes a new gradient domain filtering to refine the transmission. Then, the intensity compensation is used to enhance the image color information. At the same time, the atmospheric light value is estimated and boundary constrains is used to roughly estimate the transmission, and, weights is added to define the transmission. So the scene transmission of both is refined, the image is reduced by atmospheric scattering model and two images are fused with the fusion strategy. The fusion of image uses the auto white balance to fine tune to get the final image. According to the experimental results, the algorithm effectively solves the problem of color distortion and loss of detail information in the defog image.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062A (9 August 2018); doi: 10.1117/12.2502943
Show Author Affiliations
Wei Xie, Central China Normal Univ. (China)
Huanjun Hu, Central China Normal Univ. (China)
Liming Wang, Central China Normal Univ. (China)
Chi Li, Central China Normal Univ. (China)
Zhigang Tu, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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