test_moissonnage_selune
type: Agent

Sparsity-based Sinogram Denoising for low-dose Computed Tomography
type: Dataset
contact point: Organization
  fn: CCSD
keyword: statistical-analysis
keyword: conference-papers
keyword: image-restoration
keyword: patch-wise-nonlinear-processing
keyword: learning-artificial-intelligence
keyword: filtered-backprojection-algorithm
keyword: sinogram-restoration-method
keyword: off-line-learning
keyword: sparsity-based-sinogram-denoising
keyword: computerised-tomography
keyword: image-quality
keyword: computed-tomography
keyword: infoeu-reposemanticsconferenceobject
keyword: statistical-model
keyword: biological-effects-of-radiation
keyword: radiation-dose
keyword: soft-tissues
landing page: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
description: International audience
issued: 2026-05-17T13:29:30.386356
language: en
modified: 2026-05-17T13:29:30.386365

Sparsity-based Sinogram Denoising for low-dose Computed Tomography
type: Distribution
access URL: https://inria.hal.science/hal-00700360
format: HTML
issued: 2026-05-17T13:29:30.521237
modified: 2026-05-17T13:29:30.307860