This package contains the Matlab codes for denoisinig greyscale images using
BlockShrink[1] implemented with a decimated wavelet transform. We perform
the wavelet transform using Wavelab 850 toolbox which can be free downloaded
from http://www-stat.stanford.edu/~wavelab/.
This software is non-optimized Matlab codes and provided for non-commercial
and research purposes only. If you find any bugs or have any suggestions,
please contact with me.
References:
[1] Zhou Dengwen and Shen Xiaoliu, "Image denoising using block
thresholding," in Proc. 2008 congress on image and signal
processing,Sanya, Hainan, China,May 2008, pp. 335–338.
Designed by: Zhou Dengwen
zdw@ncepu.edu.cn
Department of Computer Science & Technology
North China Electric Power University(Beijing)(NCEPU)
Filies:
DenoiseFun.m: denoising main function using BlockShrink
SubbandThresholding.m: thresholding the noisy subband
according to BlockShrink rule
Parameters.m: Select the optimal block size and corresponding threshold
Parameters.mexw32: This file is significantly faster than Parameters.m
Calc_MSE_PSNR: computing MSE and PSNR
test: denoising demonstration
Copyright (c) 2008 Zhou Dengwen. All Rights Reserved.
Zhou Dengwen
Jun. 11, 2009
Cite As
Dengwen Zhou (2024). BlockShrink denoising (https://www.mathworks.com/matlabcentral/fileexchange/24430-blockshrink-denoising), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Neighborhood and Block Processing >
- Signal Processing > Signal Processing Toolbox > Digital and Analog Filters > Multirate Signal Processing >
- Signal Processing > Signal Processing Toolbox > Signal Generation and Preprocessing > Smoothing and Denoising >
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Version | Published | Release Notes | |
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1.0.0.0 |