Fast Single Image Dehazing Using Iterative Bilateral Filter

In this paper, we present a simple but efficient iterative method for increasing scene visibility and recovering haze-free scene contrast from a single hazy image. Using the dark channel prior with the haze imaging model, we directly estimate the coarse transmission map at first, then an iterative r...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2010 2nd International Conference on Information Engineering and Computer Science s. 1 - 4
Hlavní autoři: Sun Kang, Wang Bo, Zheng Zhihui, Zhou Zhiqiang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.12.2010
Témata:
Channel estimation
Cost function
Equations
Filtering algorithms
Image color analysis
Mathematical model
Pixel
ISBN:1424479398, 9781424479399
ISSN:2156-7379
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this paper, we present a simple but efficient iterative method for increasing scene visibility and recovering haze-free scene contrast from a single hazy image. Using the dark channel prior with the haze imaging model, we directly estimate the coarse transmission map at first, then an iterative refinement module based on bilateral filter is applied to refine the transmission map. The main advantage of our algorithm compared with others is its speed and efficiency for both color and gray level images. At last, a comparative study with other state-of-art algorithms is proposed to demonstrate that similar or better quality results of our scheme are obtained with only a tiny fraction time consumption.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678374