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Image restoration is a long-standing problem in low-level computer vision with many interesting applications.
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Pointwise shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images
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A. Barbu · 2009
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S. Didas, J. Weickert, and B. Burgeth · 2009
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Revisiting loss-specific training of filter-based MRFs for image restoration
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Nonlocally centralized sparse representation for image restoration
W. Dong, L. Zhang, G. Shi, and X. Li · 2013
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P. Milanfar · 2013
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Image denoising using the higher order singular value decomposition
A. Rajwade, A. Rangarajan, and A. Banerjee · 2013
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Non-local sparse models for image restoration
J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman · 2009
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Fields of Experts
S. Roth and M. J. Black · 2009
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Theoretical foundations for discrete forward-and-backward diffusion filtering
M. Welk, G. Gilboa, and J. Weickert · 2009
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Y. H. Hu and J.-N. Hwang · 2010
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Diffusion filtering without parameter tuning: Models and inference tools
K. Krajsek and H. Scharr · 2010
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Learning PDEs for image restoration via optimal control
R. Liu, Z. Lin, W. Zhang, and Z. Su · 2010
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Anchored neighborhood regression for fast example-based super-resolution
R. Timofte, V. De, and L. V. Gool · 2013
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Learning activation functions to improve deep neural networks
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Reducing artifact in JPEG decompression via a learned dictionary
H. Chang, M. K. Ng, and T. Zeng · 2014
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Insights into analysis operator learning: From patch-based sparse models to higher order MRFs
Y. Chen, R. Ranftl, and T. Pock · 2014
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Fast adaptive nonlocal SAR despeckling
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Learning a deep convolutional network for image super-resolution
C. Dong, C. C. Loy, K. He, and X. Tang · 2014
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Sparsity-based Poisson denoising with dictionary learning
R. Giryes and M. Elad · 2014
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S. Gu, L. Zhang, W. Zuo, and X. Feng · 2014
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iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
P. Ochs, Y. Chen, T. Brox, and T. Pock · 2014
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Single image interpolation via adaptive nonlocal sparsity-based modeling
Y. Romano, M. Protter, and M. Elad · 2014
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Shrinkage fields for effective image restoration
U. Schmidt and S. Roth · 2014
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On learning optimized reaction diffusion processes for effective image restoration
Y. Chen, W. Yu, and T. Pock · 2015
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