A self-learning image super-resolution method via sparse representation and non-local similarity

Image Super-Resolution Via Sparse Representation

John Wright, Thomas S. Huang, Yi Ma · IEEE Transactions on Image Processing · 2010 · 5.2K citations

Engineering, Biometrics, Image Statistics +16

An iterative thresholding algorithm for linear inverse problems with a sparsity constraint

Ingrid Daubechies, Michel Defrise, Christine De Mol · Communications on Pure and Applied Mathematics · 2004 · 4.9K citations

Mathematical Programming, Numerical Analysis, Engineering +16

Super-resolution image reconstruction: a technical overview

Sung Cheol Park, Min‐Gyu Park, Moon Gi Kang · IEEE Signal Processing Magazine · 2003 · 3.3K citations

High Resolution, Engineering, Super-resolution Imaging +18

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

Alfred M. Bruckstein⋆, David L. Donoho, Michael Elad · SIAM Review · 2009 · 2.2K citations

Sparse Solutions, Linear Systems, Engineering +15

Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems

Amir Beck, Marc Teboulle · IEEE Transactions on Image Processing · 2009 · 2K citations

Deblurring, Image Analysis, Engineering +14