Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression

@article{Zhang2012SingleIS,
  title={Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression},
  author={Kaibing Zhang and Xinbo Gao and Dacheng Tao and Xuelong Li},
  journal={IEEE Transactions on Image Processing},
  year={2012},
  volume={21},
  pages={4544-4556}
}
Image super-resolution (SR) reconstruction is essentially an ill-posed problem, so it is important to design an effective prior. For this purpose, we propose a novel image SR method by learning both non-local and local regularization priors from a given low-resolution image. The non-local prior takes advantage of the redundancy of similar patches in natural images, while the local prior assumes that a target pixel can be estimated by a weighted average of its neighbors. Based on the above… CONTINUE READING
Highly Influential
This paper has highly influenced 18 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 261 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 141 extracted citations

Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression

IEEE Transactions on Image Processing • 2014
View 9 Excerpts
Highly Influenced

261 Citations

0204060'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 261 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 51 references

On Single Image Scale-Up Using Sparse-Representations

Curves and Surfaces • 2010
View 9 Excerpts
Highly Influenced

Kernel Regression for Image Processing and Reconstruction

IEEE Transactions on Image Processing • 2007
View 10 Excerpts
Highly Influenced

Generalizing the Nonlocal-Means to Super-Resolution Reconstruction

IEEE Transactions on Image Processing • 2009
View 6 Excerpts
Highly Influenced

Super-resolution through neighbor embedding

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. • 2004
View 5 Excerpts
Highly Influenced

Online Nonnegative Matrix Factorization With Robust Stochastic Approximation

IEEE Transactions on Neural Networks and Learning Systems • 2012
View 1 Excerpt

Probabilistic Exposure Fusion

IEEE Transactions on Image Processing • 2012

Single image super-resolution with sparse neighbor embedding

K. Zhang, X. Gao, D. Tao, X. Li
IEEE Trans. Image Process., vol. 21, no. 7, pp. 3194–3205, Jun. 2012. • 2012

Similar Papers

Loading similar papers…