Vector anisotropic filter for multispectral image denoising

Ahmed Ben Said, Sebti Foufou, Rachid Hadjidj

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix transform for noise covariance matrix estimation. Specifically we show that if an image has a low local variability, we can make the assumption that in the noisy image, the local variability originates from the noise variance only. We apply the proposed approach for the denoising of multispectral images corrupted by noise and compare the proposed method with some existing methods. Results demonstrate an improvement in the denoising performance.

Original languageEnglish (US)
Title of host publicationTwelfth International Conference on Quality Control by Artificial Vision
PublisherSPIE
Volume9534
ISBN (Electronic)9781628416992
DOIs
StatePublished - Jan 1 2015
Event12th International Conference on Quality Control by Artificial Vision - Le Creusot, France
Duration: Jun 3 2015Jun 5 2015

Other

Other12th International Conference on Quality Control by Artificial Vision
CountryFrance
CityLe Creusot
Period6/3/156/5/15

Fingerprint

Multispectral Images
Image denoising
Image Denoising
Covariance matrix
Filter
Denoising
filters
Covariance Matrix Estimation
Gaussian Noise
Sparse matrix
Filtering
Transform
random noise
Demonstrate

Keywords

  • Anisotropic filter
  • Multispectral image
  • Sparse matrix transform

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Ben Said, A., Foufou, S., & Hadjidj, R. (2015). Vector anisotropic filter for multispectral image denoising. In Twelfth International Conference on Quality Control by Artificial Vision (Vol. 9534). [95340N] SPIE. https://doi.org/10.1117/12.2182746

Vector anisotropic filter for multispectral image denoising. / Ben Said, Ahmed; Foufou, Sebti; Hadjidj, Rachid.

Twelfth International Conference on Quality Control by Artificial Vision. Vol. 9534 SPIE, 2015. 95340N.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ben Said, A, Foufou, S & Hadjidj, R 2015, Vector anisotropic filter for multispectral image denoising. in Twelfth International Conference on Quality Control by Artificial Vision. vol. 9534, 95340N, SPIE, 12th International Conference on Quality Control by Artificial Vision, Le Creusot, France, 6/3/15. https://doi.org/10.1117/12.2182746
Ben Said A, Foufou S, Hadjidj R. Vector anisotropic filter for multispectral image denoising. In Twelfth International Conference on Quality Control by Artificial Vision. Vol. 9534. SPIE. 2015. 95340N https://doi.org/10.1117/12.2182746
Ben Said, Ahmed ; Foufou, Sebti ; Hadjidj, Rachid. / Vector anisotropic filter for multispectral image denoising. Twelfth International Conference on Quality Control by Artificial Vision. Vol. 9534 SPIE, 2015.
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