Denoising of 2-d image with wavelet thresholding.
out=ThreshWave2(Noisy,Type,TI,sigma,mult,L,qmf)
2-d Noisy image, size(Noisy)= 2^J*2^J.
'S' for soft thresholding, 'H' for hard thresholding. Optional, Default=hard thresholding.
Enter 1 if you want translation-invariant denoising, 0 if you don't. Optional, Default=non-invariant.
Standard deviation of additive Gaussian White Noise. Enter 0 if you want sigma to be estimated by median filtering. Optional, Default=estimated by median filtering.
Multiplier of sigma to obtain the value of the threshold. Optional, Default = sqrt(2*log(n)), where n is the number of pixels/
Low-Frequency cutoff for shrinkage (e.g. L=4) Should have L << J! Optional, Default = 3.
Quadrature Mirror Filter for Wavelet Transform Optional, Default = Symmlet 4.
Estimate, obtained by applying thresholding on wavelet coefficients.