Art

J-GLOBAL ID：201702288251972605   Reference number：17A0504097

Multi-Channel Convolutional Neural Networks for Image Super-Resolution

画像超解像のためのマルチチャネル畳み込みニューラルネットワーク

Author (5)： OHTANI Shinya (Graduate School of Engineering, Kobe University) ,  KATO Yu (Graduate School of Engineering, Kobe University) ,  KUROKI Nobutaka (Graduate School of Engineering, Kobe University) ,  HIROSE Tetsuya (Graduate School of Engineering, Kobe University) ,  NUMA Masahiro (Graduate School of Engineering, Kobe University)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Web)  (IEICE Trans Fundam Electron Commun Comput Sci (Web))
Volume： E100.A  Issue： 2  Page： 572-580(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： image ,  *superresolution ,  channel ,  machine learning ,  convolution ,  *neural network(biomodel) ,  image processing ,  SN ratio ,  *electronic camera
Semi thesaurus term： PSNR ,  *digital camera ,  multichannel ,  *resolution enhancement ,  deep learning ,  *super resolution technique

Author keywords (5)： super-resolution ,  resolution enhancement ,  convolutional neural networks ,  CNN ,  deep learning

JST classification (2)： Cameras and their accessories  (QF05030V) ,  Graphic and image processing in general  (JE04010I)

Reference (14)：

• [1] W.T. Freeman, E.C. Pasztor, and O.T. Carmichael, “Learning low-level vision,” Int. J. Comput. Vis., vol.40, no.1, pp.25-47, Oct. 2000.
• [2] J. Yang, J. Wright, T. Huang, and Y. Ma, “Image super-resolution as sparse representation of raw image patches,” IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
• [3] J. Yang, J. Wright, T. Huang, and Y. Ma, “Image super-resolution via sparse representation,” IEEE Trans. Image Process., vol.19, no.11, pp.2861-2873, 2010.
• [4] K.I. Kim and Y. Kwon, “Single-image super-resolution using sparse regression and natural image prior,” IEEE Trans. Pattern Anal. Mach. Intell., vol.32, no.6, pp.1127-1133, 2010.
• [5] H. Chang, D.Y. Yeung, and Y. Xiong, “Super-resolution through neighbor embedding,” IEEE Conference on Computer Vision and Pattern Recognition, pp.275-282, 2004.

Terms in the title (3)： 超解像 ,  マルチチャネル ,  畳み込みニューラルネットワーク