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A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation., , and . Computational Imaging, volume 9401 of SPIE Proceedings, page 94010N. IS&T/SPIE, (2015)Can Maxout Units Downsize Restoration Networks? - Single Image Super-Resolution Using Lightweight CNN with Maxout Units., and . CoRR, (2017)Single Image Super-Resolution Using Lightweight CNN with Maxout Units., and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 471-487. Springer, (2018)PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report., , , , , , , , , and 38 other author(s). ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 315-333. Springer, (2018)Single Image Super-Interpolation using Adjusted Self-Exemplars., , and . Computational Imaging, page 81-86. Society for Imaging Science and Technology, (2017)S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks., , and . CoRR, (2019)2X Super-Resolution Hardware Using Edge-Orientation-Based Linear Mapping for Real-Time 4K UHD 60 fps Video Applications., , and . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (9): 1274-1278 (2018)S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks., , and . IEEE Geosci. Remote. Sens. Lett., 17 (5): 829-833 (2020)UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images., , , , , , and . IEEE Access, (2020)A Deep Convolutional Neural Network with Selection Units for Super-Resolution., and . CVPR Workshops, page 1150-1156. IEEE Computer Society, (2017)