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	2018/06
形態種別	その他論文
査読	査読あり
標題	study on image noise reduction algorithm at improved NL means based on color information
執筆形態	共著
掲載誌名	procedings 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	NNCT2018,pp.428-431
著者・共著者	Rui-qiang MA, Li-xia ZHANG. Shan-jun ZHANG
概要	For the random noise of digital image processing is embedded in the old films, to study the improved Non Means algorithm in Local. Through the whole area of the surrounding pixels of gray distribution in contrast to the overall, according to the gray level distribution similarity obtained decision weights, to study and calculate the corresponding each pixel set color Information adaptive parameters, and then calculate the similarity, screened based on the template. In order to achieve the goal of eliminating the noise by modifying the value of the target pixel region, and using the weighted average value instead of the target pixel region value. Finally, the feasibility and the scientific nature of the noise reduction performance are simulated by referring to the image noise elimination precision and image quality parameters.
ISBN	978-1-60595-561-2