runDemo.m

% RUNDEMO Illustrates the use of BFILTER2 and CARTOON.
%    This demo shows typical usage for the bilateral 
%    filter implemented by BFILTER2. The application
%    of bilateral filtering to image abstraction is
%    demonstrated by the CARTOON function.
%
% Douglas R. Lanman, Brown University, September 2006.
% [e-mail], http://mesh.brown.edu/dlanman


% Load test images.
% Note: Must be double precision in the interval [0,1].
img1 = double(imread('einstein.jpg'))/255;
img2 = double(imread('mandrill.jpg'))/255;
img3 = double(imread('academy.jpg'))/255;

% Introduce AWGN into test images.
% Note: This will show the benefit of bilateral filtering.
img1 = img1+0.03*randn(size(img1));
img2 = img2+0.03*randn(size(img2));
img1(img1<0) = 0; img1(img1>1) = 1;
img2(img2<0) = 0; img2(img2>1) = 1;

% Set bilateral filter parameters.
w     = 5;       % bilateral filter half-width
sigma = [3 0.1]; % bilateral filter standard deviations

% Apply bilateral filter to each image.
bflt_img1 = bfilter2(img1,w,sigma);
bflt_img2 = bfilter2(img2,w,sigma);

% Display grayscale input image and filtered output.
figure(1); clf;
set(gcf,'Name','Grayscale Bilateral Filtering Results');
subplot(1,2,1); imagesc(img1);
axis image; colormap gray;
title('Input Image');
subplot(1,2,2); imagesc(bflt_img1);
axis image; colormap gray;
title('Result of Bilateral Filtering');

% Display color input image and filtered output.
figure(2); clf;
set(gcf,'Name','Color Bilateral Filtering Results');
subplot(1,2,1); imagesc(img2);
axis image; colormap gray;
title('Input Image');
subplot(1,2,2); imagesc(bflt_img2);
axis image; title('Result of Bilateral Filtering');
drawnow;

% Apply bilateral filter for a "cartoon" effect.
cartoon_img3 = cartoon(img3);

% Display color input image and abstracted output.
figure(3); clf;
set(gcf,'Name','Image Abstraction Input');
imagesc(img3); axis image;
title('Input Image');
figure(4); clf;
set(gcf,'Name','Result of Image Abstraction');
imagesc(cartoon_img3); axis image;
title('Abstracted Image');