Low complexity two classes Gauss weighting filter for noise reduction in mobile received analog TV signals
Friebe M, Kaup A (2005)
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2005
Pages Range: 712-715
Event location: Antalya
ISBN: 9781604238211
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863649764&origin=inward
Abstract
We introduce a low complexity method for noise reduction in mobile received analog TV signals. The two classes Gauss weighting filter is smoothing images while preserving image details and motion regions. This approach classifies neighboring image samples either as an edge or non-edge sample. Only image samples which belong to non-edge samples are used for noise reduction. Image samples which belong to edges are excluded from filtering.
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How to cite
APA:
Friebe, M., & Kaup, A. (2005). Low complexity two classes Gauss weighting filter for noise reduction in mobile received analog TV signals. In Proceedings of the 13th European Signal Processing Conference, EUSIPCO 2005 (pp. 712-715). Antalya, TR.
MLA:
Friebe, Markus, and André Kaup. "Low complexity two classes Gauss weighting filter for noise reduction in mobile received analog TV signals." Proceedings of the 13th European Signal Processing Conference, EUSIPCO 2005, Antalya 2005. 712-715.
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