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http://dx.doi.org/10.6109/jkiice.2016.20.12.2355

Digital Image based Real-time Sea Fog Removal Technique using GPU  

Choi, Woon-sik (Dept. of Electronic Engineering, Mokpo Maritime University)
Lee, Yoon-hyuk (DDnT Lab., Kwangwoon University)
Seo, Young-ho (DDnT Lab., Kwangwoon University)
Choi, Hyun-jun (Dept. of Electronic Engineering, Mokpo Maritime University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.12, 2016 , pp. 2355-2362 More about this Journal
Abstract
Seg fog removal is an important issue concerned by both computer vision and image processing. Sea fog or haze removal is widely used in lots of fields, such as automatic control system, CCTV, and image recognition. Color image dehazing techniques have been extensively studied, and expecially the dark channel prior(DCP) technique has been widely used. This paper propose a fast and efficient image prior - dark channel prior to remove seg-fog from a single digital image based on the GPU. We implement the basic parallel program and then optimize it to obtain performance acceleration with more than 250 times. While paralleling and the optimizing the algorithm, we improve some parts of the original serial program or basic parallel program according to the characteristics of several steps. The proposed GPU programming algorithm and implementation results may be used with advantages as pre-processing in many systems, such as safe navigation for ship, topographical survey, intelligent vehicles, etc.
Keywords
Sea-fog; Sea-fog Removal; GPU; Safe Navigation;
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