Package boofcv.alg.denoise.wavelet

Class SubbandShrink<I extends ImageGray<I>>

java.lang.Object

boofcv.alg.denoise.wavelet.SubbandShrink<I>

All Implemented Interfaces:

DenoiseWavelet<I>

Direct Known Subclasses:

DenoiseBayesShrink_F32, DenoiseSureShrink_F32

public abstract class SubbandShrink<I extends ImageGray<I>>
extends Object
implements DenoiseWavelet<I>

Performs an adaptive threshold based wavelet shrinkage across each of the wavelet subbands in each layer of the transformed image.

Field Summary

Fields

Modifier and Type	Field	Description
protected ShrinkThresholdRule<I>	rule

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	SubbandShrink(ShrinkThresholdRule<I> rule)

Method Summary

Modifier and Type	Method	Description
protected abstract Number	computeThreshold(I subband)	Compute the threshold for the specified subband.
protected void	performShrinkage(I transform, int numLevels)	Performs wavelet shrinking using the specified rule and by computing a threshold for each subband.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface boofcv.alg.denoise.DenoiseWavelet

denoise

Field Details

rule

protected ShrinkThresholdRule<I extends ImageGray<I>> rule

Constructor Details

SubbandShrink

protected SubbandShrink(ShrinkThresholdRule<I> rule)

Method Details

computeThreshold

protected abstract Number computeThreshold(I subband)

Compute the threshold for the specified subband.

Parameters:

subband - Subband whose threshold is being computed.

performShrinkage

protected void performShrinkage(I transform,
 int numLevels)

Performs wavelet shrinking using the specified rule and by computing a threshold for each subband.

Parameters:

transform - The image being transformed.

numLevels - Number of levels in the transform.