Journal of Computer and Communications

Volume 4, Issue 2 (February 2016)

ISSN Print: 2327-5219   ISSN Online: 2327-5227

Google-based Impact Factor: 1.34  Citations  

A Research on Single Image Dehazing Algorithms Based on Dark Channel Prior

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DOI: 10.4236/jcc.2016.42006    2,995 Downloads   4,141 Views   Citations

ABSTRACT

In the field of computer and machine vision, haze and fog lead to image degradation through various degradation mechanisms including but not limited to contrast attenuation, blurring and pixel distortions. This limits the efficiency of machine vision systems such as video surveillance, target tracking and recognition. Various single image dark channel dehazing algorithms have aimed to tackle the problem of image hazing in a fast and efficient manner. Such algorithms rely upon the dark channel prior theory towards the estimation of the atmospheric light which offers itself as a crucial parameter towards dehazing. This paper studies the state-of-the-art in this area and puts forwards their strengths and weaknesses. Through experiments the efficiencies and shortcomings of these algorithms are shared. This information is essential for researchers and developers in providing a reference for the development of applications and future of the research field.

Cite this paper

Alharbi, E. , Ge, P. and Wang, H. (2016) A Research on Single Image Dehazing Algorithms Based on Dark Channel Prior. Journal of Computer and Communications, 4, 47-55. doi: 10.4236/jcc.2016.42006.

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