Homogeneity-based directional sigma filtering of video noise

Mohammed Ghazal, Aishy Amer, Ali Ghrayeb

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

7 Citations (Scopus)

Abstract

This paper proposes a real-time method for the reduction of white Gaussian video noise. The method achieves a maximum gain of 4.8 dB and is capable of preserving image content. It adapts window size, weighting and behavior to both image content and noise level in order to optimize the filtering. It starts by detecting the intensity-homogeneous direction from 8 different candidates. A variant of the Sigma filter is then applied directionally. The filtering is performed along homogeneous areas and not across edges. For noisy images, the filtering is increased automatically by using the two most homogeneous directions with a larger kernel size. The proposed filter achieves better image preservation by turning off gradually for less noisy images. It works well for both highly noisy and good-quality images without the introduction of speed or hardware implementation challenges.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages97-100
Number of pages4
Volume1
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: 11 Sep 200514 Sep 2005

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period11/9/0514/9/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ghazal, M., Amer, A., & Ghrayeb, A. (2005). Homogeneity-based directional sigma filtering of video noise. In IEEE International Conference on Image Processing 2005, ICIP 2005 (Vol. 1, pp. 97-100). [1529696] https://doi.org/10.1109/ICIP.2005.1529696