Principal components for non-local means image denoising

@article{Tasdizen2008PrincipalCF,
  title={Principal components for non-local means image denoising},
  author={Tolga Tasdizen},
  journal={2008 15th IEEE International Conference on Image Processing},
  year={2008},
  pages={1728-1731}
}
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors used in the non-local means algorithm are first projected onto a lower-dimensional subspace using PCA. Consequently, neighborhood similarity weights for denoising are computed using distances in this subspace rather than the full space. This modification to the non-local means algorithm results in improved accuracy and… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 71 CITATIONS

Nonlocal means image denoising based on bidirectional principal component analysis

  • 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2015
VIEW 6 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Covariance Trees for 2D and 3D Processing

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2014
VIEW 3 EXCERPTS
CITES RESULTS & METHODS
HIGHLY INFLUENCED

Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising

  • IEEE Transactions on Image Processing
  • 2009
VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND

A neighborhood regression approach for removing multiple types of noises

  • EURASIP J. Image and Video Processing
  • 2018
VIEW 1 EXCERPT
CITES METHODS

Adaptive Denoising Algorithm Based on Nonlocal Means in Image Processing

  • 2018 International Russian Automation Conference (RusAutoCon)
  • 2018
VIEW 2 EXCERPTS
CITES BACKGROUND

An improved two stage directional denoising using current and localized frames for video processing

Sanjay M. Malode, Dr. V. M. Thakare
  • 2018
VIEW 1 EXCERPT
CITES METHODS

FILTER CITATIONS BY YEAR

2009
2019

CITATION STATISTICS

  • 6 Highly Influenced Citations

References

Publications referenced by this paper.
SHOWING 1-9 OF 9 REFERENCES

A non-local algorithm for image denoising

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Higher-order image statistics for unsupervised, information-theoretic, adaptive, image filtering

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Statistics of natural images and models

  • Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
  • 1999
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Fast image and video denoising via nonlocal means of similar neighborhoods

  • IEEE Signal Processing Letters
  • 2005
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Adaptive principal components and image denoising

  • Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
  • 2003
VIEW 3 EXCERPTS

Im - age denoising using scale mixtures of gaussians in the wavelet domain

V. Strela J. Portilla, M. Wainwright, E. Simoncelli
  • IEEE Trans . on Image Processing
  • 2003