Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal
 
research article

Sparse and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal

Jin, KH
•
Ye, JC
2018
IEEE Transactions on Image Processing
  • Details
  • Metrics
Type
research article
DOI
10.1109/TIP.2017.2771471
Web of Science ID

WOS:000418863500018

Author(s)
Jin, KH
Ye, JC
Date Issued

2018

Published in
IEEE Transactions on Image Processing
Volume

27

Issue

3

Start page

1448

End page

1461

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIB  
Available on Infoscience
November 8, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/150971
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés