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IEICE Trans

Shinya OHTANI

Multi-Category Image Super-Resolution with Convolutional Neural Network and Multi-Task Learning Kazuya URAZOE Nobutaka KUROKI Yu KATO Shinya OHTANI Tetsuya HIROSE Masahiro NUMA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2021/01/01 Vol. E104-D No. 1 pp. 183-193 Type of Manuscript: PAPER Category: Image Processing and Video Processing Keyword: super-resolution, resolution enhancement, convolutional neural network, multi-task learning, deep learning,
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Improvement of Luminance Isotropy for Convolutional Neural Networks-Based Image Super-Resolution Kazuya URAZOE Nobutaka KUROKI Yu KATO Shinya OHTANI Tetsuya HIROSE Masahiro NUMA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2020/07/01 Vol. E103-A No. 7 pp. 955-958 Type of Manuscript: LETTER Category: Image Keyword: super-resolution, resolution enhancement, convolutional neural network, isotropy, deep learning,
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Multi-Channel Convolutional Neural Networks for Image Super-Resolution Shinya OHTANI Yu KATO Nobutaka KUROKI Tetsuya HIROSE Masahiro NUMA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2017/02/01 Vol. E100-A No. 2 pp. 572-580 Type of Manuscript: Special Section PAPER (Special Section on Image Media Quality) Category: IMAGE PROCESSING Keyword: super-resolution, resolution enhancement, convolutional neural networks, CNN, deep learning,
	Summary \| Full Text:PDF