Art

J-GLOBAL ID：201702221636375978   Reference number：17A1943603

Convex Filter Networks Based on Morphological Filters and their Application to Image Noise and Mask Removal

モルフォロジカルフィルタをベースにした凸フィルタネットワークと,その画像ノイズおよびマスク除去への応用

Author (4)： NAKASHIZUKA Makoto (Chiba Institute of Technology) ,  KOBAYASHI Kei-ichiro (Chiba Institute of Technology) ,  ISHIKAWA Toru (Chiba Institute of Technology) ,  ITOI Kiyoaki (Chiba Institute of Technology)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Web)  (IEICE Trans Fundam Electron Commun Comput Sci (Web))
Volume： E100.A  Issue： 11  Page： 2238-2247(J-STAGE)  Publication year： 2017 
JST Material Number： U0466A  ISSN： 1745-1337  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： filter ,  *filtering ,  image processing ,  *image correction ,  noise (signal) ,  masking ,  image restoration ,  *image processing filter
Semi thesaurus term： morphological filter ,  *Image denoising ,  image noise ,  masking effect

Author keywords (5)： mathematical morphology ,  maxout ,  noise removal ,  nonlinear filter ,  neural network

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

Reference (16)：

• [1] P. Maragos and R.W. Scafer, “Morphological filters-part I: Their set-theoretical analysis and relations to linear shift-invariant filters, IEEE Trans. Acoust., Speech, Signal Process., vol.35, no.8, pp.1153-1169, Aug. 1987. 10.1109/tassp.1987.1165259
• [2] P. Maragos, “Chapter 3. 3: Morphological filtering for image enhancement and feature detection,” The Image and Video Processing Handbook, A.C. Bovik Ed., pp.135-156, Elsevier Academic Press, 2005. 10.1016/b978-012119792-6/50072-3
• [3] A. Krizhevsky, I. Sutskever, and G.E. Hinton, “ImageNet classification with deep convolutional neural networks,” Conference on Neural Information Process. Syst., 2012.
• [4] C. Dong, C.C. Loy, K. He, and X. Tang, “Learning a deep convolutional network for image super resolution,” Proc. Euro. Conf. of Computer Vision, 2014. 10.1007/978-3-319-10593-2_13
• [5] R. Köhler, C. Schuler, B. Sch olkopf, and S. Harmeling, “Mask-specific inpainting with deep neural networks,” Lecture Notes in Computer Science, Pattern Recognition (GCPR 2014), pp.523-534, 2014. 10.1007/978-3-319-11752-2_43

Terms in the title (5)： モルフォロジカルフィルタ ,  凸 ,  画像ノイズ ,  マスク ,  応用