Robust Space/Spatial-Frequency based Filtering of Images in the presence of heavy tailed noise
نویسندگان
چکیده
A robust space/spatial-frequency representation for analysis of two-dimensional signals corrupted by heavy tailed noise is proposed. The L-estimate forms of robust short-time Fourier transform and spectrogram for 2D signals are introduced. They are used to define a non-stationary space-varying filtering procedure in the space/spatial-frequency domain. The efficiency of the proposed procedure is tested on the examples with interferogram images affected by a mixed Gaussian and impulse noise.
منابع مشابه
L-statistics based space/spatial-frequency filtering of 2D signals in heavy tailed noise
Most of the commonly used stationary filtering techniques, performed either in the spatial or frequency domains, fail to produce good results for noisy signals with fast varying non-stationary structures. The filtering results could be improved by using space/spatial-frequency based non-stationary filters. Hence, a robust approach to space/spatial-frequency analysis of two-dimensional noisy sig...
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