1.Download Link：
1.DIV2K: DIV2K Dataset
2.Set5:【实践与问题解决28】最全超分辨率（SR）数据集介绍以及多方法下载链接_超分辨率数据集_呆呆象呆呆的博客-CSDN博客
3.Set14:【实践与问题解决28】最全超分辨率（SR）数据集介绍以及多方法下载链接_超分辨率数据集_呆呆象呆呆的博客-CSDN博客
4.BSD100/B100: The Berkeley Segmentation Dataset and Benchmark
5.Urban100: Urban100 Dataset | Papers With Code
6.Manga109:Manga109 dataset and creation of metadata | Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding
7.Flickr2K：Flickr2K datasets http://cv.snu.ac.kr/research/EDSR/Flickr2K.tar
2.数据集文献引用(按顺序): DIV2K\Set5\Set14\BSD100\Urban100\Manga109
[1]
Agustsson E, Timofte R. Ntire 2017 challenge on single image super-resolution: Dataset and
study[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Workshop (CVPRW), 2017: 126-135.
[2]
Bevilacqua M, Roumy A, Guillemot C, et al. Low-complexity single-image super-resolution
based onnonnegative neighbor embedding[C]. Proceedings of the British Machine Vision
Conference (BMVC), 2012:1-10
[3]
Zeyde R, Elad M, Protter M. On single image scale-up using sparse-representations[C].
Proceedings of the International Conference on Curves and Surfaces (ICCS), 2010: 711-730.
[4]
Martin D, Fowlkes C, Tal D, et al. A database of human segmented natural images and its
application to evaluating segmentation algorithms and measuring ecological statistics[C].
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2001: 416-
423.
[5]
Huang J-B, Singh A, Ahuja N. Single image super-resolution from transformed self-
exemplars[C].Proceedings of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2015:5197-5206.
[6]
Matsui Y, Ito K, Aramaki Y, et al. Sketch-based manga retrieval using manga109 dataset[J].
Multimedia Tools and Applications, 2017, 76(20): 21811-21838.
1.建议浏览SR综述：Deep Learning for Image Sper-resolution : A Survey
2.https://blog.csdn.net/qq_41554005/article/details/116466156
