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Image denoising using quadtree-based nonlocal means with locally adaptive principal component analysis

Chenglin Zuo, Ljubomir Jovanov UGent, Bart Goossens UGent, Hiep Luong UGent, Wilfried Philips UGent, Yu Liu and Maojun Zhang (2016) IEEE SIGNAL PROCESSING LETTERS. 23(4). p.434-438
abstract
In this letter, we present an efficient image denoising method combining quadtree-based nonlocal means (NLM) and locally adaptive principal component analysis. It exploits nonlocal multiscale self-similarity better, by creating sub-patches of different sizes using quadtree decomposition on each patch. To achieve spatially uniform denoising, we propose a local noise variance estimator combined with denoiser based on locally adaptive principal component analysis. Experimental results demonstrate that our proposed method achieves very competitive denoising performance compared with state-of-the-art denoising methods, even obtaining better visual perception at high noise levels.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
principal component analysis, quadtree decomposition, nonlocal means (NLM), Image denoising, GAUSSIAN SCALE MIXTURES, MEANS ALGORITHM, DOMAIN
journal title
IEEE SIGNAL PROCESSING LETTERS
IEEE Signal Process. Lett.
volume
23
issue
4
pages
434 - 438
publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
place of publication
PISCATAWAY
Web of Science type
Article
Web of Science id
000372372000003
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
2.528 (2016)
JCR rank
83/260 (2016)
JCR quartile
2 (2016)
ISSN
1070-9908
DOI
10.1109/LSP.2016.2530406
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7199067
handle
http://hdl.handle.net/1854/LU-7199067
date created
2016-04-29 18:04:45
date last changed
2017-09-15 14:03:49
@article{7199067,
  abstract     = {In this letter, we present an efficient image denoising method combining quadtree-based nonlocal means (NLM) and locally adaptive principal component analysis. It exploits nonlocal multiscale self-similarity better, by creating sub-patches of different sizes using quadtree decomposition on each patch. To achieve spatially uniform denoising, we propose a local noise variance estimator combined with denoiser based on locally adaptive principal component analysis. Experimental results demonstrate that our proposed method achieves very competitive denoising performance compared with state-of-the-art denoising methods, even obtaining better visual perception at high noise levels.},
  author       = {Zuo, Chenglin and Jovanov, Ljubomir and Goossens, Bart and Luong, Hiep and Philips, Wilfried and Liu, Yu and Zhang, Maojun},
  issn         = {1070-9908},
  journal      = {IEEE SIGNAL PROCESSING LETTERS},
  keyword      = {principal component analysis,quadtree decomposition,nonlocal means (NLM),Image denoising,GAUSSIAN SCALE MIXTURES,MEANS ALGORITHM,DOMAIN},
  language     = {eng},
  number       = {4},
  pages        = {434--438},
  publisher    = {IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC},
  title        = {Image denoising using quadtree-based nonlocal means with locally adaptive principal component analysis},
  url          = {http://dx.doi.org/10.1109/LSP.2016.2530406},
  volume       = {23},
  year         = {2016},
}

Chicago
Zuo, Chenglin, Ljubomir Jovanov, Bart Goossens, Hiep Luong, Wilfried Philips, Yu Liu, and Maojun Zhang. 2016. “Image Denoising Using Quadtree-based Nonlocal Means with Locally Adaptive Principal Component Analysis.” Ieee Signal Processing Letters 23 (4): 434–438.
APA
Zuo, C., Jovanov, L., Goossens, B., Luong, H., Philips, W., Liu, Y., & Zhang, M. (2016). Image denoising using quadtree-based nonlocal means with locally adaptive principal component analysis. IEEE SIGNAL PROCESSING LETTERS, 23(4), 434–438.
Vancouver
1.
Zuo C, Jovanov L, Goossens B, Luong H, Philips W, Liu Y, et al. Image denoising using quadtree-based nonlocal means with locally adaptive principal component analysis. IEEE SIGNAL PROCESSING LETTERS. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC; 2016;23(4):434–8.
MLA
Zuo, Chenglin, Ljubomir Jovanov, Bart Goossens, et al. “Image Denoising Using Quadtree-based Nonlocal Means with Locally Adaptive Principal Component Analysis.” IEEE SIGNAL PROCESSING LETTERS 23.4 (2016): 434–438. Print.