Iterative smoothed residuals: a low-pass filter for smoothing with controlled shrinkage

We present a linear smoothing operator which has low-pass characteristics similar to a Butterworth filter and limited spatial extent similar to a Gaussian. The smoothing operator also has closed forms in the spatial and frequency domains which facilitate analysis and implementation. A formula is der...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 1996-03, Vol.18 (3), p.334-337
Main Authors: Wheeler, M.D., Ikeuchi, K.
Format: Article
Language:English
Subjects:
Computer vision
Filtering
Fourier transforms
Frequency domain analysis
Gaussian noise
Image recognition
Low pass filters
Nonlinear filters
Signal processing
Smoothing methods
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Description
Summary:We present a linear smoothing operator which has low-pass characteristics similar to a Butterworth filter and limited spatial extent similar to a Gaussian. The smoothing operator also has closed forms in the spatial and frequency domains which facilitate analysis and implementation. A formula is derived that allows us to explicitly control shrinkage.
ISSN:0162-8828
1939-3539
DOI:10.1109/34.485562