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チョウ ゼンシュン
Zhang Shanjun 張 善俊 所属 神奈川大学 情報学部 計算機科学科 神奈川大学大学院 理学研究科 理学専攻(情報科学領域) 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2018/06 |
形態種別 | その他論文 |
査読 | 査読あり |
標題 | Color Image Defogging in Dark Channel Prior Based Image Local Features |
執筆形態 | 共著 |
掲載誌名 | proceedings of 2018 International Conference on Computer, Communication and Network Technology |
掲載区分 | 国外 |
出版社・発行元 | DEStech publications, Inc, 439 North Duke Street, Lancaster, PA, 17602 |
巻・号・頁 | CCNT2018,pp.432-436 |
担当範囲 | research ideas and implementation |
著者・共著者 | Rui-qiang MA, Shan-jun ZHANG |
概要 | This study
is based on a large amount of analysis of predecessors on the Dark channel prior defogging algorithm based on the research results, especially the He team's research results, depth of field processing, to abandon the He team in order to enhance the sense of depth to set the range of depth of field approach. In this research, we proposed a method to remove fog from uneven defogging image with fog density change, using dark channel prior and local gradient key point extraction technology. |
ISBN | 978-1-60595-561-2 |