boofcv.alg.denoise.wavelet

Class DenoiseVisuShrink_F32

java.lang.Object

boofcv.alg.denoise.wavelet.DenoiseVisuShrink_F32

All Implemented Interfaces:

DenoiseWavelet<ImageFloat32>

public class DenoiseVisuShrink_F32
extends Object
implements DenoiseWavelet<ImageFloat32>

Classic algorithm for wavelet noise reduction by shrinkage with a universal threshold. Noise is reduced by applying a soft threshold to wavelet coefficients. A method is provided for automatically selecting a reasonable threshold based upon the coefficients statistics.

D. Donoho and I. Johnstone, "Ideal spatial adaption via wavelet shrinkage," Biometrics, Vol. 81, 425-455, 1994

Author:

Peter Abeles

Constructor Summary

Constructors

Constructor and Description
DenoiseVisuShrink_F32()

Method Summary

Methods

Modifier and Type	Method and Description
void	denoise(ImageFloat32 transform, int numLevels) Applies VisuShrink denoising to the provided multilevel wavelet transform using the provided threshold.

Methods inherited from class java.lang.Object

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

Constructor Detail

DenoiseVisuShrink_F32

public DenoiseVisuShrink_F32()

Method Detail

denoise

public void denoise(ImageFloat32 transform,
           int numLevels)

Applies VisuShrink denoising to the provided multilevel wavelet transform using the provided threshold.

Specified by:

denoise in interface DenoiseWavelet<ImageFloat32>

Parameters:

transform - Mult-level wavelet transform. Modified.

numLevels - Number of levels in the transform.