boofcv.alg.denoise.wavelet

Class DenoiseSureShrink_F32

java.lang.Object

boofcv.alg.denoise.wavelet.SubbandShrink<GrayF32>

boofcv.alg.denoise.wavelet.DenoiseSureShrink_F32

All Implemented Interfaces:

DenoiseWavelet<GrayF32>

public class DenoiseSureShrink_F32
extends SubbandShrink<GrayF32>

SureShrink denoises wavelets using a threshold computed by minimizing Stein's Unbiased Risk Estimate (SURE). In practice a hybrid approach was found to work best where either the Stein threshold or the universal threshold proposed by VisuShrink is used.

This implementation computes a threshold for each subband.

D. Donoho, L. Johnstone, "Adapting to Unknown Smoothness via Wavelet Shrinkage" Journal of the American Statistical Association, Vol. 90, No. 432, December 1995, pp. 1200-1224

Constructor Summary

Constructors

Constructor and Description
DenoiseSureShrink_F32()

Method Summary

Modifier and Type	Method and Description
void	denoise(GrayF32 transform, int numLevels) Removes noise from the multi-level wavelet transform.

Methods inherited from class java.lang.Object

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

Constructor Detail

DenoiseSureShrink_F32

public DenoiseSureShrink_F32()

Method Detail

denoise

public void denoise(GrayF32 transform,
                    int numLevels)

Description copied from interface: DenoiseWavelet

Removes noise from the multi-level wavelet transform.

Parameters:

transform - Transform of the original image.

numLevels - NUmber of levels in the transform.