资 源 简 介
% function IOut = denoiseImageKSVD(Image,sigma,K,varargin)
% denoise an image by sparsely representing each block with the
% already overcomplete trained Dictionary, and averaging the represented parts.
% Detailed description can be found in "Image Denoising Via Sparse and Redundant
% representations over Learned Dictionaries", (appeared in the
% IEEE Trans. on Image Processing, Vol. 15, no. 12, December 2006).
% This function may take some time to process. Possible factor that effect
% the processing time are:
% 1. number of KSVD iterations - the default number of iterations is 10.
% However, fewer iterations may, in most cases, result an acceleration in
% the process, without effecting the result too much. Therefore, when
% required, this parameter may be re-set.
% 2. maxBlocksToConsider - The maximal number of blocks to train on. If this
%
文 件 列 表
KSVD for SAR_LOG
baboon.raw
Baboon512rgb.png
barb.raw
barbara.png
barbara.raw
barco.png
barton.raw
boat.png
Cameraman256.png
canaletto.raw
coifman.raw
daubechies.raw
demo2.asv
demo.m
denoiseImageDCT.asv
denoiseImageDCT.m
denoiseImageGlobal.m
denoiseImageKSVD.asv
denoiseImageKSVD.m
displayDictionaryElementsAsImage.asv
displayDictionaryElementsAsImage.m
finger.raw
fingerprint.png
fingerprint.raw
flinstones.png
func_ReadRaw.m
gererateSyntheticDictionaryAndData.m
globalTrainedDictionary.mat
goldhill.raw
house.png
KSVD.asv
KSVD.m
KSVD_NN.m
lena.png
lena.raw
lena1.png
lena_15a.bmp
lenna.raw
lincoln.raw
MOD.m
mriscan.raw
MSSIM.m
my_im2col.m
NN_BP.m
OMP.m
OMPerr.m
peppers256.png
README.txt
small.jpg
SSIM.m
xsarmodel1.bmp
sar1.bmp
sar2.bmp
sar3.bmp
sar31.bmp
sar32.bmp
sar4.bmp
sar6.bmp
sar61.bmp
sar62.bmp
washington.bmp
pointEnhance.m
esi.m
R.m
