boofcv.alg.denoise.wavelet

Class DenoiseBayesShrink_F32

java.lang.Object

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

boofcv.alg.denoise.wavelet.DenoiseBayesShrink_F32

All Implemented Interfaces:

DenoiseWavelet<GrayF32>

public class DenoiseBayesShrink_F32
extends SubbandShrink<GrayF32>

Denoises images using an adaptive soft-threshold in each sub-band computed using Bayesian statistics.

Wavelet coefficients are modified using a standard soft-thresholding technique. The threshold is computing using an adaptively for each sub-band, as follows:
T = σ²/σ_X
where σ is the noise standard deviation and σ_X is the signal standard deviation.

S. Change, B. Yu, M. Vetterli, "Adaptive Wavelet Thresholding for Image Denoising and Compression" IEEE Tran. Image Processing, Vol 9, No. 9, Sept. 2000

Constructor Summary

Constructors

Constructor and Description
DenoiseBayesShrink_F32(ShrinkThresholdRule<GrayF32> rule)

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

DenoiseBayesShrink_F32

public DenoiseBayesShrink_F32(ShrinkThresholdRule<GrayF32> rule)

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.