研究者情報 | 神奈川大学

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
言語種別	英語
発行・発表の年月	2019/01
形態種別	学術雑誌
査読	査読あり
標題	An improved color image defogging algorithm using dark channel model and enhancing saturation
執筆形態	単著
掲載誌名	International Journal for Light and Electron Optics, Optik
掲載区分	国外
出版社・発行元	ELSEVIER
巻・号・頁	180(2019),pp.997-1000
担当範囲	research ideas and implementation
概要	Fog is an atmospheric phenomenon that significantly degrades the visibility of outdoor scenes. It is difficult to lock in and track off criminals clarity in the high-definition surveillance hazy image and driverless. In our research, we develop dark channel model, re-refined transmission map by transferring coefficient. Compared with other defogging methods based on single color image prior, our method is a effectiveness of the proposed defogging algorithm, enhanced the saturation of defogging image and a higher quality depth map can be obtained of fog removal. In this way, a clear hazy image is obtained while maintaining the fog removing quality. Moreover, a good quality defogging image can be validated of fog removal by PSNR and MSE.
DOI	https://doi.org/10.1016/j.ijleo.2018.12.020