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Hyperspectral image denoising by total variation-regularized bilinear factorization

  • Published:2020-09 Issue: Volume:174 Page:107645
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Chen YongyongORCID,Li Jiaxue,Zhou YicongORCID

Funder

Science and Technology Development Fund

University of Macau

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference31 articles.

1. Hyperspectral image recovery employing a multidimensional nonlocal total variation model;Li;Signal Process.,2015

2. Hyperspectral image restoration using low-rank matrix recovery;Zhang;IEEE Trans. Geosci. Remote Sens.,2013

3. Denoising of hyperspectral images using nonconvex low rank matrix approximation;Chen;IEEE Trans. Geosci. Remote Sens.,2017

4. Nonwhite noise reduction in hyperspectral images;Liu;IEEE Geosci. Remote Sens. Lett.,2012

5. A non-local algorithm for image denoising;Buades,2005

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3. Adaptive weighted robust data recovery with total variation for hyperspectral image;Signal Processing;2024-03

4. Pan-Denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation;IEEE Transactions on Geoscience and Remote Sensing;2024

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