Low complexity two classes Gauss weighting filter for noise reduction in mobile received analog TV signals

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Friebe M, Kaup A
Publication year: 2005
Pages range: 712-715
ISBN: 9781604238211


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.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


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. (pp. 712-715). Antalya, TR.

MLA:
Friebe, Markus, and Andre 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.

BibTeX: 

Last updated on 2018-10-08 at 09:11