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http://dx.doi.org/10.12673/jant.2017.21.5.485

Acceleration for Removing Sea-fog using Graphic Processors and Parallel Processing  

Kim, Young-doo (Department of Marine Electronic, Communication and Computer Engineering, Mokpo Maritime University)
Kwak, Jae-min (Department of Marine Electronic, Communication and Computer Engineering, Mokpo Maritime University)
Seo, Young-ho (Ingenium College of Liberal Arts, Kwangwoon University)
Choi, Hyun-jun (Department of Marine Electronic, Communication and Computer Engineering, Mokpo Maritime University)
Publication Information
Journal of Advanced Navigation Technology / v.21, no.5, 2017 , pp. 485-490 More about this Journal
Abstract
In this paper, we propose a technique for high speed removal of sea-fog using a graphic processor. This technique uses a host processor(CPU) and several graphics processors(GPU) capable of parallel processing to remove sea-fog from the input image. In the process of removing sea-fog, the dark channel extraction, the maximum brightness channel extraction, and the calculation of the transmission are performed by the host processor, and the process of refining the transmission by applying the bidirectional filter is performed in parallel through the graphic processor. To verify the proposed parallel processing method, three NVIDIA GTX 1070 GPUs were used to construct the verification environment. As a result, it takes about 140ms when implemented with one graphics processor, and 26ms when implemented using OpenMP and multiple GPGPUs. The proposed a parallel processing algorithm based on the graphics processor unit can be used for safe navigation, port control and monitoring system.
Keywords
Sea-fog remove; Graphic processor; Parallel processing; OpenMP; Safe navigation;
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Times Cited By KSCI : 2  (Citation Analysis)
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