ChenJM
(SR) - Collection

  01 Oct 2016

训练集

  1. 91 images：来自 J. Yang, J. Wright, T. S. Huang, and Y. Ma. Image superresolution via sparse representation. TIP, 2010.

  2. 291 images：来自D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In ICCV, 2001.

  3. ImageNet：SRCNN中采用该训练集进行训练。

测试集

  1. Set5：来自C. G. Marco Bevilacqua, Aline Roumy and M.-L. A. Morel. Low-complexity single-image super-resolution based on nonnegative neighbor embedding. In BMVC, 2012.

  2. Set14：来自R. Zeyde, M. Elad, and M. Protter. On single image scale-upusing sparse-representations. In Curves and Surfaces, pages 711–730. Springer, 2012.

  3. Urban100：来自J.-B. Huang, A. Singh, and N. Ahuja. Single image superresolution using transformed self-exemplars. In CVPR, 2015.

  4. B100：来自R. Timofte, V. De Smet, and L. Van Gool. A+: Adjusted anchored neighborhood regression for fast super-resolution. In ACCV, 2014.

测试指标

  • PSNR: Peak Signal to Noise Ratio，峰值信噪比.
  • SSIM: structural similarity index，结构相似性.
  • MOS: mean-opinion-score，平均主观意见分