Alternatives and similar repositories for pycontourlet

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

• ssalili / Nonsubsampled-Contourlet-Toolbox
  ☆19Updated 7 years ago
• lpj0 / MWCNN
  Multi-level Wavelet-CNN for Image Restoration
  ☆240Updated 4 years ago
• jtguan / Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal
  A deep learning approach for stripe noise removal
  ☆55Updated 3 years ago
• lpj-github-io / MWCNNv2
  Multi-level Wavelet Convolutional Neural Networks
  ☆288Updated 4 years ago
• Ryanshuai / BM3D_py
  pure Python implementation of BM3D
  ☆258Updated 3 years ago
• zhengdihan / Unsupervised_denoising
  An Unsupervised deep learning approach for real-world image denoising
  ☆39Updated 2 years ago
• JavierGurrola / RDUNet
  A Residual Dense U-net Neural Networkfor Image Denoising
  ☆55Updated 3 years ago
• WenxueCui / CSNet-Pytorch
  Pytorch code for paper "Deep Networks for Compressed Image Sensing" and "Image Compressed Sensing Using Convolutional Neural Network"
  ☆83Updated last year
• chintan1995 / Image-Denoising-using-Deep-Learning
  ☆79Updated this week
• stefanloock / pyshearlab
  pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.
  ☆51Updated 7 years ago
• anntzer / clahe
  (Exact) contrast-limited adaptive histogram equalization
  ☆62Updated 8 months ago
• PangTongyao / Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising
  ☆63Updated 2 years ago
• grlee77 / PyShearlets
  2D Fast Finite Shearlet Transforms (FFST)
  ☆46Updated 8 years ago
• tingfengainiaini / sparseCodingSuperResolution
  ☆49Updated 10 years ago
• lychengrex / Image-Denoising-with-Deep-CNNs
  Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
  ☆129Updated 2 years ago
• acecreamu / deep-hs-prior
  Single Hyperspectral Image Denoising, Inpainting, Super-Resolution
  ☆135Updated 5 years ago
• wzhshi / TIP-CSNet
  The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural …
  ☆45Updated 5 years ago
• psyrocloud / MS-SSIM_L1_LOSS
  Pytorch implementation of MS-SSIM L1 Loss function
  ☆106Updated last year
• VeroHU / supervised_blur_kernel_estimation
  If you have the original image and the blurred image, you can use this code to estimate the blur kernel.
  ☆11Updated 6 years ago
• FanChiMao / SUNet
  SUNet: Swin Transformer with UNet for Image Denoising
  ☆238Updated last year
• liuhuang31 / BM3D-Denoise
  Using BM3D to denoise
  ☆233Updated 2 years ago
• yjn870 / RDN-pytorch
  PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)
  ☆131Updated 4 years ago
• hanyoseob / pytorch-noise2void
  Noise2Void - Learning Denoising from Single Noisy Images
  ☆136Updated 3 years ago
• yjn870 / DnCNN-pytorch
  PyTorch implementation of Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP 2017)
  ☆30Updated 6 years ago
• natezhenghy / DCDicL_denoising
  Official implementation of Deep Convolutional Dictionary Learning for Image Denoising.
  ☆142Updated 2 months ago
• csjunxu / WNNM_CVPR2014
  CODE
  ☆49Updated 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…
  ☆34Updated 4 years ago
• TaoHuang2018 / Neighbor2Neighbor
  Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
  ☆281Updated 2 years ago
• scut-mingqinchen / Self2Self
  ☆147Updated 4 years ago
• yjn870 / REDNet-pytorch
  PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS …
  ☆98Updated 6 years ago