Description: function y=besovdenoise(xn,nr,ni)
Multiple Wavelet Basis Denoising using Besov Projections
Requires Rice Wavelet Toolbox (www.dsp.rice.edu/software)
xn: noisy image
works best when pixel values of original image are in [0,1]
nr: factor used to estimate Besov norm
recommended value: 2.0- 3.0
ni: number of POCS iteration
recommented value: 10
y: denoised image
To Search:
File list (Check if you may need any files):
Image Denoising using Besov Projections in Multiple Wavelet Domainsbesovproj\1.png
............................................................................\besovdenoise.m
............................................................................\b_11i_norm2.m
............................................................................\dd.jpg
............................................................................\images\barbara.png
............................................................................\......\Cameraman256.png
............................................................................\......\MRI_Coronal_Brain.jpg
............................................................................\......\MRI_head_side.jpg
............................................................................\l1_pr.m
............................................................................\l1_pr2.m
............................................................................\MRI_Coronal_Brain.jpg
............................................................................\Multiple Wavelet Basis Image Denoising UsingBesov Ball Projections.pdf
............................................................................\Prepy_ultilies\clamp.m
............................................................................\..............\crop.m
............................................................................\..............\div.m
............................................................................\..............\getoptions.m
............................................................................\..............\grad.m
............................................................................\..............\imageplot.m
............................................................................\..............\image_resize.m
............................................................................\..............\load_image.m
............................................................................\..............\perform_thresholding.m
............................................................................\..............\perform_wavelet_transf.m
............................................................................\..............\psnr.m
............................................................................\..............\rescale.m
............................................................................\..............\snr.m
............................................................................\..............\sum3.m
............................................................................\psnr.m
............................................................................\test.asv
............................................................................\testbesovdenoise.asv
............................................................................\testbesovdenoise.m
............................................................................\images
............................................................................\Prepy_ultilies
Image Denoising using Besov Projections in Multiple Wavelet Domainsbesovproj
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