• SPGL1

  • Referenced in 199 articles [sw08365]
  • underdetermined least-squares problem. Basis Pursuit DeNoise (BPDN) fits the least-squares problem only approximately...
  • DnCNN

  • Referenced in 45 articles [sw39678]
  • Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. Discriminative model learning ... image denoising has been recently attracting considerable attentions due to its favorable denoising performance ... investigating the construction of feed-forward denoising convolutional neural networks (DnCNNs) to embrace the progress ... learning algorithm, and regularization method into image denoising. Specifically, residual learning and batch normalization...
  • FTVd

  • Referenced in 71 articles [sw12220]
  • deconvolution, and is a TV based deconvolution / denoising package. The latest package includes fast solvers...
  • iPiano

  • Referenced in 68 articles [sw09623]
  • demonstrate iPiano on computer vision problems – image denoising with learned priors and diffusion based image...
  • Wavelet Toolbox

  • Referenced in 59 articles [sw08396]
  • wavelet-based algorithms for the analysis, synthesis, denoising, and compression of signals and images...
  • reccv

  • Referenced in 36 articles [sw26388]
  • shrinkage and wavelet thresholding estimators developed to denoise such data. These estimators arise from ... step-by-step illustration of a wavelet denoising analysis on electrical consumption is provided. Matlab...
  • tvreg

  • Referenced in 27 articles [sw14426]
  • package performs total variation (TV) regularized image denoising, deconvolution, and inpainting. Three different noise models ... perform denoising, deconvolution, and inpainting as special cases. It is efficiently solved using the recent...
  • OptShrink

  • Referenced in 20 articles [sw33657]
  • algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage ... simple, completely data-driven algorithm for denoising a low-rank signal matrix buried in noise...
  • XLNet

  • Referenced in 19 articles [sw31118]
  • With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better...
  • na28

  • Referenced in 16 articles [sw11502]
  • total variation (TV) image reconstruction, more specifically: denoising, inpainting, and deblurring. The algorithms are based...
  • L1TestPack

  • Referenced in 15 articles [sw20470]
  • instances for the so-called Basis Pursuit Denoising problem (often referred to as BPDN...
  • ePCA

  • Referenced in 8 articles [sw27830]
  • noiseless distribution is needed for denoising and for structure determination. However, the standard method, Principal ... used very generally for dimension reduction and denoising of large data matrices with exponential family ... alternatives. Importantly, it also leads to better denoising. We also provide theoretical justification...
  • denoiseR

  • Referenced in 8 articles [sw17854]
  • package denoiseR: Regularized Low Rank Matrix Estimation. Estimate a low rank matrix from noisy data...
  • ParNes

  • Referenced in 12 articles [sw08366]
  • attempt to solve the basis pursuit denoising (bpdn) problem (i.e., approximating the minimum 1-norm...
  • iDUDE

  • Referenced in 5 articles [sw21734]
  • iDUDE framework for grayscale image denoising. We present an extension of the discrete universal denoiser ... DUDE, specialized for the denoising of grayscale images. The original DUDE is a low-complexity ... sequence, the same performance as the best denoiser that does have access to such information ... poor estimates that would not enable effective denoising. The present work enhances the basic DUDE...
  • Dipy

  • Referenced in 10 articles [sw27511]
  • implements a broad range of algorithms for denoising, registration, reconstruction, tracking, clustering, visualization, and statistical...
  • LLNet

  • Referenced in 5 articles [sw42507]
  • variant of the recently proposed stacked-sparse denoising autoencoder can learn to adaptively enhance ... denoise from synthetically darkened and noisy training examples. The network can then be successfully applied ... various popular enhancing, state-of-the-art denoising and hybrid enhancing-denoising techniques...
  • NPtool

  • Referenced in 9 articles [sw06855]
  • functions implementing Newton projection methods for image denoising and deblurring applications. They are specifically thought...
  • Checkmark

  • Referenced in 6 articles [sw11474]
  • distortions, warping; Copy attack; Template removal attack; Denoising, denoising followed by perceptual remodulation; Non-linear...