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Determine thresholds to minimize MSE,

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Real world signals usually contain departures from the ideal signal that would be produced by our model of the signal production process. Such departures are referred to as noise. Noise arises as a result of unmodelled or unmoddellable processes going on in the production and capture of the real signal. It is not part of the ideal signal and may be caused by a wide range of sources, e.g variations in the detector sensitivity, environmental variations, the discrete nature of radiation, transmission or quantization errors, etc. it is also possible to treat irrelevant scene details as if they are image noise (e.g surface reflectance textures). The characteristics of noise depend on its source, as does the operator which best reduces its effects.

Many image processing packages contain operator to artificially add noise to an image. Deliberately corrupting an image with noise allows us to test the resistance of an image processing operator to noise and assess the performance of various noise filters.
This project implements image denoising using visushrink by using both soft and hard threshold methods..hope u like it..

Required Products Image Processing Toolbox
MATLAB release MATLAB 7.8 (R2009a)
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Comments and Ratings (3)
17 Mar 2016 iman mostafa

hardC=[C(1:S(1,1)^2), hthresh(C(S(1,1)^2+1:length(C)),UT)];

please would you explain this line and how it works

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02 Mar 2016 Arpita Mazumder

showing error
Undefined function 'hthresh' for input arguments of type 'double'.

Error in newdenoise (line 17)
hardC=[C(1:S(1,1)^2), hthresh(C(S(1,1)^2+1:length(C)),UT)];

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27 Feb 2016 anas qazaz

sir, when i use colored image .jpeg it give the following error:
??? Error using ==> image
Error using ==> image
TrueColor CData contains element out of range 0.0 <= value <= 1.0

Error in ==> imagesc at 19
hh = image(varargin{1},'CDataMapping','scaled');

Error in ==> visuthresh at 50
figure, imagesc(newpich);colormap(gray);

>> how i can use this program for colored image
thank in advance

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