• SPGL1

  • Referenced in 182 articles [sw08365]
  • underdetermined least-squares problem. Basis Pursuit DeNoise (BPDN) fits the least-squares problem only approximately...
  • FTVd

  • Referenced in 64 articles [sw12220]
  • deconvolution, and is a TV based deconvolution / denoising package. The latest package includes fast solvers...
  • Wavelet Toolbox

  • Referenced in 56 articles [sw08396]
  • wavelet-based algorithms for the analysis, synthesis, denoising, and compression of signals and images...
  • iPiano

  • Referenced in 51 articles [sw09623]
  • demonstrate iPiano on computer vision problems – image denoising with learned priors and diffusion based image...
  • reccv

  • Referenced in 35 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 21 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 15 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...
  • na28

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

  • Referenced in 13 articles [sw20470]
  • instances for the so-called Basis Pursuit Denoising problem (often referred to as BPDN...
  • ParNes

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

  • Referenced in 6 articles [sw17854]
  • package denoiseR: Regularized Low Rank Matrix Estimation. Estimate a low rank matrix from noisy data...
  • Checkmark

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

  • Referenced in 4 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 8 articles [sw27511]
  • implements a broad range of algorithms for denoising, registration, reconstruction, tracking, clustering, visualization, and statistical...
  • NPtool

  • Referenced in 7 articles [sw06855]
  • functions implementing Newton projection methods for image denoising and deblurring applications. They are specifically thought...
  • XLNet

  • Referenced in 7 articles [sw31118]
  • With the capability of modeling bidirectional contexts, denoising autoencoding based pretraining like BERT achieves better...
  • ePCA

  • Referenced in 4 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...
  • KSVD-Box

  • Referenced in 3 articles [sw25551]
  • dictionary training algorithms, and the K-SVD Denoising algorithm [ref]. Requires OMP-Box v10. KSVDS ... training algorithm and the sparse K-SVD Denoising algorithm [ref]. Requires OMPS...
  • WaveSpect0

  • Referenced in 4 articles [sw08760]
  • step-interval unification, adaptive stationary discrete wavelet denoising, baseline correction using splines, normalization, peak detection...
  • PG-URE

  • Referenced in 2 articles [sw22027]
  • used to assess the performance of image denoising algorithms in presence of mixed Poisson-Gaussian ... Marin, An unbiased risk estimator for image denoising in the presence of mixed Poisson-Gaussian...