Middle-Frequency Based Refinement for Image Super-Resolution

[1]  Michal Irani,et al.  Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency , 1993, J. Vis. Commun. Image Represent..

[2]  Guang-Da Su,et al.  Super-Resolution for Facial Images Based on Local Similarity Preserving , 2012, IEICE Trans. Inf. Syst..

[3]  Raanan Fattal,et al.  Image and video upscaling from local self-examples , 2011, TOGS.

[4]  William T. Freeman,et al.  Example-Based Super-Resolution , 2002, IEEE Computer Graphics and Applications.

[5]  Noriaki Suetake,et al.  Image super-resolution based on local self-similarity , 2008 .

[6]  Lei Zhang,et al.  Nonlocal back-projection for adaptive image enlargement , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[7]  Yin Li,et al.  Exploration into Single Image Super-Resolution via Self Similarity by Sparse Representation , 2010, IEICE Trans. Inf. Syst..

[8]  Li Yi,et al.  Image Super-Resolution Via Analysis Sparse Prior , 2013, IEEE Signal Processing Letters.

[9]  Jong-Ok Kim,et al.  Self-similarity based image super-resolution on frequency domain , 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

[10]  Jong Beom Ra,et al.  Example-Based Super-Resolution via Structure Analysis of Patches , 2013, IEEE Signal Processing Letters.

[11]  Michal Irani,et al.  Super-resolution from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[12]  Mei Han,et al.  Bilateral Back-Projection for Single Image Super Resolution , 2007, 2007 IEEE International Conference on Multimedia and Expo.