Authors:
Behnaz Pourebrahimi
and
Jan C. A. van der Lubbe
Affiliation:
Delft University of Technology, Netherlands
Keyword(s):
Noise reduction, Time-frequency transform, Gabor transform, Low-pass filter, Image features.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Enhancement and Restoration
;
Image Formation and Preprocessing
Abstract:
In this paper, a noise reduction technique is introduced based on the Gabor time-frequency transform. In the proposed approach, noise is removed using low pass filters locally in the transform domain. Finding the cut-off frequency for the low pass filters in such a way that image does not loose its features, is an important issue. The optimal cut-off frequency of the low pass filters are computed in an iterative method for each sub-block of the image. The followed approach, besides showing a good performance in removing noise, it also performs well in preserving image features.