//Ex4_20 // Image Sharping in Frequency Domain Using the Laplacian // Version : Scilab 5.4.1 // Operating System : Window-xp, Window-7 //Toolbox: Image Processing Design 8.3.1-1 //Toolbox: SIVP 0.5.3.1-2 //Reference book name : Digital Image Processing //book author: Rafael C. Gonzalez and Richard E. Woods clc; close; clear; xdel(winsid())//to close all currently open figure(s). function[H]=lowpassfilter(type1,M,N,D0,n)//lowpassfilter is used to filter an image . u=0:(M-1); v=0:(N-1); idx=find(u>M/2); u(idx)=u(idx)-M; idy=find(v>N/2); v(idy)=v(idy)-N; [U,V]=meshgrid(v,u); D=sqrt(U.^2+V.^2); select type1 case'ideal'then H=double(D<=D0); case'Laplacian'then H_temp=double(D<=D0); H=(4*(%pi)^2*D^2); H=H.*H_temp; case'butterworth'then if argn(2)==4 then n=1; end H = ones(M,N)./(1+(D./D0).^(2*n)); H_temp=ones(M,N)+(4*(%pi)^2*D^2); H=H.*H_temp; case'gaussian'then H=exp(-(D.^2)./(2*(D0^2))); else disp('Unknownfiltertype.') end endfunction /////////////////////////////////// Main Programm //////////////////////////////// a=imread("Ex4_20.tif"); //gray=rgb2gray(a); gray=im2double(imresize(a,[540 540])); figure,ShowImage(gray,'Gray Image'); title('Original Image','color','blue','fontsize',4); [M,N]=size(gray); h=fft2(gray);//fft2() is used to find 2-Dimensional Fast Fourier Transform of an matrix i=log(1+abs(h)); in=fftshift(i);//fftshift() is used to rearrange the fft output, moving the zero frequency to the center of the spectrum. inm=mat2gray(in); filt=lowpassfilter('Laplacian',M,N,55); // User Define Function which generate Filter Mask Corresponding to Low Frequency filt_shift=fftshift(filt); n=filt.*h;//Multiply the Original Spectrum with the Filter Mask. Image_filter=real(ifft(n)); Image_filter=mat2gray(Image_filter); z=gray+Image_filter; figure,ShowImage(mat2gray(z),'Filtered Image'); title('Filtered Image with Specific Cut-Off Frequency','color','blue','fontsize',4);