文献
J-GLOBAL ID:202102216599034441
整理番号:21A2492949
アルファ安定雑音の存在におけるぼけ画像復元のための凸制約変分法【JST・京大機械翻訳】
A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises
著者 (6件):
Yang Zhenzhen
(National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
,
Yang Zhenzhen
(Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, China)
,
Yang Zhen
(National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
,
Yang Zhen
(Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, China)
,
Gui Guan
(National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
,
Gui Guan
(Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, China)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
18
号:
4
ページ:
1175
発行年:
2018年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)