8 December 2011 Single image dehazing based on dark channel prior
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Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800302 (2011) https://doi.org/10.1117/12.898798
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Bad weather, such as fog and haze, can dramatically degrade the visibility of a scene. To solve this problem, we exploit the method of dark channel prior to recover a single haze image, which is based on a key observation - most non-sky local patches in haze-free outdoor images contain some pixels with very low intensities in at least one color channel. In this article, the dark channel prior method is implemented to remove haze from a single outdoor image, and the setting up of parameters is discussed and evaluated. The experimental results show the visibility, contrast, and detail of the scene are significantly enhanced comparing with the original ones. In addition, the analysis results of the GMG (Gray Mean Grads), LS (Laplace operator), and BN (Blur Noise) image quality assessment methods present a dramatic rise of image quality.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuyin Tao, Shuyin Tao, Huajun Feng, Huajun Feng, Zhihai Xu, Zhihai Xu, Qi Li, Qi Li, } "Single image dehazing based on dark channel prior", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800302 (8 December 2011); doi: 10.1117/12.898798; https://doi.org/10.1117/12.898798

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