//Ex4_21 //Image Enhancement using High frequency Emphasis Filtering // 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' H=double(D<=D0); case'Laplacian' H=1+(4*(%pi)^2*D^2); case'butterworth' if argn(2)==4 n=1; end H = ones(M,N)./(1+(D./D0).^(2*n)); case'gaussian' H=exp(-(D.^2)./(2*(D0^2))); else disp('Unknownfiltertype.') end endfunction /////////////////////////////////// Main Programm //////////////////////////////// a=imread("Ex4_21.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) figure,ShowImage(inm,'Frequency Spectrum'); title('Frequency Spectrum','color','blue','fontsize',4); ////////////////////////////////// Filtering With Cut-off Frequency 10 /////////////////////// filt=1-lowpassfilter('gaussian',M,N,40); // User Define Function which generate Filter Mask n=filt.*h;//Multiply the Original Spectrum with the Filter Mask. Image_filter=real(ifft(n)); Image_filter=mat2gray(Image_filter) figure(1),ShowImage(Image_filter,'Filtered Image'); title('Filtered Image (High Pass) with Cut-Off Frequency 40','color','blue','fontsize',4); ///////////////////// high boost filtering ////////////////////////////// filt=0.5+(0.75.*(1-lowpassfilter('gaussian',M,N,40,4))); // User Define Function which generate Filter Mask n=filt.*h;//Multiply the Original Spectrum with the Filter Mask. Image_filter=real(ifft(n)); Image_filter=mat2gray(Image_filter) figure,ShowImage(Image_filter,'Filtered Image'); title('Filtered Image with Specific Cut-Off Frequency','color','blue','fontsize',4); Image_Enhance=bricontra(Image_filter,180,170,'m'); // Brightness Contrast agjustment (Intensity Transformation) figure,ShowImage(Image_Enhance,'Filtered Image'); title('Enhance Image','color','blue','fontsize',4);