A Fast Single Image Haze Removal Method Based on Human Retina Property

Xin NING  Weijun LI  Wenjie LIU  

IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.1   pp.211-214
Publication Date: 2017/01/01
Publicized: 2016/10/13
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8180
Type of Manuscript: LETTER
Category: Pattern Recognition
haze removal,  dark channel prior,  Tri-Gaussian,  human retina property,  

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In this letter, a novel and highly efficient haze removal algorithm is proposed for haze removal from only a single input image. The proposed algorithm is built on the atmospheric scattering model. Firstly, global atmospheric light is estimated and coarse atmospheric veil is inferred based on statistics of dark channel prior. Secondly, the coarser atmospheric veil is refined by using a fast Tri-Gaussian filter based on human retina property. To avoid halo artefacts, we then redefine the scene albedo. Finally, the haze-free image is derived by inverting the atmospheric scattering model. Results on some challenging foggy images demonstrate that the proposed method can not only improve the contrast and visibility of the restored image but also expedite the process.