Title :
Low complexity two classes Gauss weighting filter for noise reduction in mobile received analog TV signals
Author :
Friebe, Markus ; Kaup, Andre
Author_Institution :
Multimedia Commun. & Signal Process., Univ. Erlangen-Nuremberg, Erlangen, Germany
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.
Keywords :
filtering theory; image processing; Gauss weighting filter; analog TV signals; image samples; image smoothing; low complexity method; noise reduction; Abstracts; Classification algorithms; Filtering algorithms; Image edge detection; Table lookup;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
