A NOVEL APPROACH FOR NOISE REDUCTION IN THE GABOR TIME-FREQUENCY DOMAIN

被引:0
|
作者
Pourebrahimi, Behnaz [1 ]
van der Lubbe, Jan C. A. [1 ]
机构
[1] Delft Univ Technol, EEMCS Fac, ICT Grp, NL-2600 AA Delft, Netherlands
关键词
Noise reduction; Time-frequency transform; Gabor transform; Low-pass filter; Image features;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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页码:22 / 27
页数:6
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