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Unformatted text preview: that has absolute values smaller than p , set them to p . 5. Get the Fourier transform of the restored image using A = B./H 6. Apply inverse Fourier transformation to A to get a , the original image. 7. Adjust p to get better results. It is usually around 0.01. 8. Useful and valid MATLAB commands: fft2 ,ifft2, eye, abs, real (50%) Now add in some white Gaussian noise, with zero mean and standard deviation equals 12, on the motion blurred image B(x,y) to create a new image C(x,y). ) , ( ) , ( ) , ( y x y x B y x C Use inverse filtering and Wiener filtering (where 12 ) , ( v u P ) to restore the image. You can also use the simplified version, i.e., K v u H v u H v u Q 2 *  ) , (  ) , ( ) , ( , with various values of K, to restore the image....
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This note was uploaded on 07/08/2011 for the course EE 440 taught by Professor Jenqnenghwang during the Spring '11 term at University of Washington.
 Spring '11
 JenqNengHwang

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