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Proceedings Paper

A fast algorithm for image defogging
Author(s): Xingyu Wang; Shuai Guo; Hui Wang; Haibing Su
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Paper Abstract

For the low visibility and contrast of the foggy image, I propose a single image defogging algorithm. Firstly, change the foggy image from the space of RGB to HSI and divide it into a plurality of blocks. Secondly, elect the maximum point of S component of each block and correct it, keeping H component constant and adjusting I component, so we can estimate fog component through bilinear interpolation. Most importantly, the algorithm deals with the sky region individually. Finally, let the RGB values of all pixels in the blocks minus the fog component and adjust the brightness, so we can obtain the defogging image. Compared with the other algorithms, its efficiency is improved greatly and the image clarity is enhanced. At the same time, the scene is not limited and the scope of application is wide.

Paper Details

Date Published: 27 September 2016
PDF: 7 pages
Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 968427 (27 September 2016); doi: 10.1117/12.2243461
Show Author Affiliations
Xingyu Wang, Univ. of Chinese Academy of Sciences (China)
Institute of Optics and Electronics (China)
Shuai Guo, Institute of Optics and Electronics (China)
Hui Wang, Institute of Optics and Electronics (China)
Haibing Su, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 9684:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment
Yudong Zhang; Fan Wu; Ming Xu; Sandy To, Editor(s)

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