A novel solo dictionary learning method for single image super-resolution

Single image super-resolution (SR) reconstruction has become a hot branch of SR. In this paper, we propose a new method for single image SR using non-negative matrix factorization (NMF) and novel solo dictionary learning. Compared to the existing method, the introduction of NMF can generate global image more similar to ground truth image and the proposed solo dictionary learning can reconstruct image without retraining the dictionary when the zooming factor changes. Moreover, experimental results show that the proposed method has better effect in both subjective and objective image quality evaluation.

[1]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[2]  H. Sebastian Seung,et al.  Learning the parts of objects by non-negative matrix factorization , 1999, Nature.

[3]  Kin-Man Lam,et al.  Image magnification based on a blockwise adaptive Markov random field model , 2008, Image Vis. Comput..

[4]  David A. Forsyth,et al.  Generalizing motion edits with Gaussian processes , 2009, ACM Trans. Graph..

[5]  Nanning Zheng,et al.  Image hallucination with primal sketch priors , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[6]  Michael Elad,et al.  Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images , 1997, IEEE Trans. Image Process..

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

[8]  E.J. Candes.  Compressive Sampling , 2022 .

[9]  Hong Chang,et al.  Super-resolution through neighbor embedding , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

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

[11]  Thomas S. Huang,et al.  Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.

[12]  E.J. Candes,et al.  An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[13]  Xiangjun Zhang,et al.  Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation , 2008, IEEE Transactions on Image Processing.

[14]  Neil A. Dodgson,et al.  Quadratic interpolation for image resampling , 1997, IEEE Trans. Image Process..