Alternatives and similar repositories for super_resolution

Users that are interested in super_resolution are comparing it to the libraries listed below

• haoranleo / Super-Resolution-Image-Reconstruction
  ☆15Updated 7 years ago
• csjunxu / Guided-Image-Denoising-TIP2018
  External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Transactions on Image Processing, 2018.
  ☆33Updated 5 years ago
• legendongary / BM3D-Net
  Codes for bm3d-net
  ☆36Updated 5 years ago
• TomHeaven / Joint-Demosaic-and-Denoising-with-ADMM
  [2017] Code for ICIP 2017 paper JOINT DEMOSAICING AND DENOISING OF NOISY BAYER IMAGES WITH ADMM
  ☆66Updated 7 years ago
• ZhaomingKong / color_image_denoising
  Very efficient and effective color image denoising method.
  ☆12Updated 3 years ago
• csjunxu / TWSC-ECCV2018
  Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".
  ☆92Updated 5 years ago
• glemaitre / BM3D
  Clone from http://www.cs.tut.fi/~foi/GCF-BM3D/index.html#ref_software
  ☆99Updated 9 years ago
• jianzhangcs / GSR
  Matlab code for Group-based Sparse Representation for Image Restoration, TIP2014
  ☆35Updated 6 years ago
• mujib2020 / Non-blind-and-Blind-Deconvolution-under-Poisson-noise
  Non-blind and Blind Deconvolution under Poisson noise via Fractional-order Total Variation
  ☆23Updated 4 years ago
• WolframRhodium / DnCNN
  Implementation of DnCNN in MATLAB using Neural Network Toolbox™
  ☆9Updated 7 years ago
• ngcthuong / Image-Denoising-Benchmark
  Collection of image denosing tools in an unification Matlab code
  ☆35Updated 3 years ago
• rwenqi / NBD-GLRA
  Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
  ☆23Updated 6 years ago
• njusthyk1972 / NLH
  Matlab code for our IEEE Trans. on Image Processing paper "NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising"
  ☆52Updated 3 years ago
• BYchao100 / Graph-Based-Blind-Image-Deblurring
  This code is the upgraded implementation of TIP paper "Graph-based Blind Image Deblurring from a Single Photograph".
  ☆34Updated 3 years ago
• vittorione94 / Non-Local-Means
  Non Local means denoising algorithm
  ☆14Updated 6 years ago
• seunghwanyoo / bayesian_vid_sr
  implementation of a bayesian video super-resolution
  ☆31Updated 9 years ago
• wenbihan / strollr2d_icassp2017
  Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017
  ☆26Updated 7 years ago
• donggong1 / learn-optimizer-rgdn
  Learning Deep Gradient Descent Optimization for Image Deconvolution. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Sh…
  ☆33Updated 4 years ago
• aminshabani / BM3D
  Matlab implementation of BM3D Algorithm for Image denoising.
  ☆38Updated 7 years ago
• agaldran / amef_dehazing
  AMEF - Artificial Multiple Exposure Fusion for Image Dehazing
  ☆32Updated 7 years ago
• csjunxu / MCWNNM-ICCV2017
  Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.
  ☆114Updated 5 years ago
• WeishengDong / DPDNN
  ☆24Updated 6 years ago
• lbasek / image-denoising-benchmark
  Benchmarking Denoising Algorithms with Real Photographs
  ☆99Updated 5 years ago
• Lihui-Chen / RGF_MDFB
  Image fusion with rolling guided filter and multi-directional filter banks.
  ☆10Updated 5 years ago
• mengziyi64 / ADMM-net
  ADMM-net (for video SCI)
  ☆23Updated 4 years ago
• axium / Blind-Image-Deconvolution-using-Deep-Generative-Priors
  Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"
  ☆32Updated 6 years ago
• RRuschel / Image-fusion
  Image Fusion with Guided Filtering
  ☆29Updated 7 years ago
• starxliu / waveletdehaze-sourcecode-v1.0
  Matlab code for "Efficient Single Image Dehazing and Denosing: An Efficient Multi-scale Correlated Wavelet Approach" in CVIU2017
  ☆16Updated 7 years ago
• wenbihan / salt_iccv2017
  SALT (iccv2017) based Video Denoising Codes, Matlab implementation
  ☆32Updated 7 years ago
• sanuj / fuse-img
  Image fusion with guided filter.
  ☆23Updated 9 years ago