| Autor: |
Timofte, R, Agustsson, E, Gool, LV, Yang, MH, Zhang, L, Lim, B, Son, S, Kim, H, Nah, S, Lee, KM, Wang, X, Tian, Y, Yu, K, Zhang, Y, Wu, S, Dong, C, Lin, L, Qiao, Y, Loy, CC, Bae, W, Yoo, J, Han, Y, Ye, JC, Choi, JS, Kim, M, Fan, Y, Yu, J, Han, W, Liu, D, Yu, H, Wang, Z, Shi, H, Huang, TS, Chen, Y, Zhang, K, Zuo, W, Tang, Z, Luo, L, Li, S, Fu, M, Cao, L, Heng, W, Bui, G, Le, T, Duan, Y, Tao, D, Wang, R, Lin, X, Pang, J, Xu, J, Zhao, Y, Xu, X, Pan, J, Sun, D, Song, X, Dai, Y, Qin, X, Huynh, XP, Guo, T, Mousavi, HS, Vu, TH, Monga, V, Cruz, C, Egiazarian, K, Katkovnik, V, Mehta, R, Jain, AK, Agarwalla, A, Praveen, CVS, Zhou, R, Wen, H, Zhu, C, Xia, Z, Guo, Q |
| Rok vydání: |
2017 |
| Předmět: |
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| Popis: |
© 2017 IEEE. This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 had unknown downscaling operators (blur kernel and decimation) but learnable through low and high res train images. Each competition had b∼100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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