TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Single Image Dehazing Using Dark Channel Prior and Minimal Atmospheric Veil |
| 영문제목(English Title) |
Single Image Dehazing Using Dark Channel Prior and Minimal Atmospheric Veil |
| 저자(Author) |
Xiao Zhou
Chengyou Wang
Liping Wang
Nan Wang
Qiming Fu
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| 원문수록처(Citation) |
VOL 10 NO. 01 PP. 0341 ~ 0363 (2016. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Haze or fog is a common natural phenomenon. In foggy weather, the captured pictures are difficult to be applied to computer vision system, such as road traffic detection, target tracking, etc. Therefore, the image dehazing technique has become a hotspot in the field of image processing. This paper presents an overview of the existing achievements on the image dehazing technique. The intent of this paper is not to review all the relevant works that have appeared in the literature, but rather to focus on two main works, that is, image dehazing scheme based on atmospheric veil and image dehazing scheme based on dark channel prior. After the overview and a comparative study, we propose an improved image dehazing method, which is based on two image dehazing schemes mentioned above. Our image dehazing method can obtain the fog-free images by proposing a more desirable atmospheric veil and estimating atmospheric light more accurately. In addition, we adjust the transmission of the sky regions and conduct tone mapping for the obtained images. Compared with other state of the art algorithms, experiment results show that images recovered by our algorithm are clearer and more natural, especially at distant scene and places where scene depth jumps abruptly.
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| 키워드(Keyword) |
Image dehazing
dark channel prior
atmospheric veil
guided filtering
bilateral filtering
tone mapping
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| 파일첨부 |
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