Using MATLAB Programming language; Apply Wiener filter,
Geometric filter, and Inverse filter on following image. Each line
of code should be annotated to show what this line of code is
doing.
Using Matlab Programming Language Apply Wiener Filter Geometric Filter And Inverse Filter On Following Image Each Li 1 (36.4 KiB) Viewed 56 times
Using Matlab Programming Language Apply Wiener Filter Geometric Filter And Inverse Filter On Following Image Each Li 2 (63.85 KiB) Viewed 56 times
Implementation Notes • To load the 'mat' file containing the blur kernels, use the load function. • Re-scale the input image to the range [0,1] using mat2gray function at the beginning of your code. • To apply the degradation operator to the input image, you can use conv2 function. However, it is recommended to use imfilter with circular option to account for the periodicity assumptions required for discrete Fourier transform. Noise can be added using imnoise function. Make sure the noise is zero-mean, with variance in the range 0.1-5% • You ARE NOT allowed to use any of the deconvolution functions implemented in MATLAB, such as deconvblind, deconvlucy, deconvwnr, deconvreg, etc. Useful MATLAB Functions imread imagesc adaphisteq medfilt2 psnr imreducehaze imwrite mat2gray rgb2gray imshow subplot imhist histe imadjust padarray conv2 imboxfilt imgaussfilt stdfilt imbilatfilt imsharpen imnoise ssim fft2 fftshift imcomplement fspecial imfilter imresize imwarp
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