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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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 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.
doi_str_mv 10.1109/34.485562
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1939-3539
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source IEEE Electronic Library (IEL) Journals
subjects Computer vision
Filtering
Fourier transforms
Frequency domain analysis
Gaussian noise
Image recognition
Low pass filters
Nonlinear filters
Signal processing
Smoothing methods
title Iterative smoothed residuals: a low-pass filter for smoothing with controlled shrinkage
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