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General MATLAB code examples.

Sat Apr 09, 2011 10:20 pm

wiener filter implementation
Code:
`function ex = wienerFilter(y,h,sigma,gamma,alpha);%% ex = wienerFilter(y,h,sigma,gamma,alpha);%% Generalized Wiener filter using parameter alpha. When% alpha = 1, it is the Wiener filter. It is also called% Regularized inverse filter.%% Reference: Richb's paper% Created: Tue May 4 16:24:06 CDT 1999, Huipin ZhangN = size(y,1);Yf = fft2(y);Hf = fft2(h,N,N);Pyf = abs(Yf).^2/N^2;% direct implementation of the regularized inverse filter, % when alpha = 1, it is the Wiener filter% Gf = conj(Hf).*Pxf./(abs(Hf.^2).*Pxf+alpha*sigma^2);%% Since we don't know Pxf, the following % handle singular case (zero case)sHf = Hf.*(abs(Hf)>0)+1/gamma*(abs(Hf)==0);iHf = 1./sHf;iHf = iHf.*(abs(Hf)*gamma>1)+gamma*abs(sHf).*iHf.*(abs(sHf)*gamma<=1);Pyf = Pyf.*(Pyf>sigma^2)+sigma^2*(Pyf<=sigma^2);Gf = iHf.*(Pyf-sigma^2)./(Pyf-(1-alpha)*sigma^2);% max(max(abs(Gf).^2)) % should be equal to gamma^2% Restorated image without denoisingeXf = Gf.*Yf;ex = real(ifft2(eXf));return `

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