Art

J-GLOBAL ID：201702230842714513   Reference number：17A0214636

Weighting Wiener and total variation for image denoising

画像雑音除去のためのWiener重みづけと全変動【Powered by NICT】

Author (6)： Liu Yun (School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China) ,  Luo Bing (School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China) ,  Zhang Zhicheng (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China) ,  Zhu Yanchun (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China) ,  Wu Shibin (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China) ,  Xie Yaoqin (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China)
Material： IEEE Conference Proceedings  (IEEE Conf Proc)
Volume： 2016  Issue： IEEE ICIA 2016  Page： 1479-1483  Publication year： 2016 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Image denoising is an integral...

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Thesaurus term： image recognition ,  noise figure ,  edge detection ,  *image ,  segmentation ,  computer vision ,  *noise elimination ,  quantization ,  pattern recognition ,  image quality ,  *noise(signal)
Semi thesaurus term： シーン理解 ,  医用画像解析 ,  *総変動 ,  *画像雑音除去 , 【Automatic Indexing@JST】

JST classification (1)： Graphic and image processing in general  (JE04010I)

Terms in the title (3)： 画像雑音除去 ,  重みづけ ,  全変動