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J-GLOBAL ID：201802233996922762   Reference number：18A1688707

Iterative applications of image completion with CNN-based failure detection

CNNベース故障検出による画像完備化の反復応用【JST・京大機械翻訳】

Author (5)： Tanaka Takahiro (Graduate School of Information Science, Nara Institutute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan) ,  Kawai Norihiko (Graduate School of Information Science, Nara Institutute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan) ,  Nakashima Yuta (Graduate School of Information Science, Nara Institutute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan) ,  Sato Tomokazu (Graduate School of Information Science, Nara Institutute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan) ,  Yokoya Naokazu (Graduate School of Information Science, Nara Institutute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan)
Material： Journal of Visual Communication and Image Representation  (Journal of Visual Communication & Image Representation)
Volume： 55  Page： 56-66  Publication year： 2018 
JST Material Number： W0218A  ISSN： 1047-3203  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： Image completion is a techniqu...

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Thesaurus term： optimization problem ,  *fault detection ,  linearity ,  neural network (network) ,  support vector machine ,  *image ,  Automation ,  algorithm ,  subjective evaluation ,  neural network (biomodel) ,  image restoration ,  interaction ,  quality of visual sense ,  pixel value ,  qualia ,  modification
Semi thesaurus term： 質感 , 【Automatic Indexing@JST】

Author keywords (4)： Image completion ,  Image inpainting ,  Convolutional neural network ,  Failure detection

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

Terms in the title (4)： CNN ,  故障検出 ,  反復 ,  応用