Show how pixel size influences the modulation transfer function

This script also illustrates how to

  1. Define a scene
  2. Create an optical image from the scene
  3. Define a sensor
  4. Evaluate the sensor MTF over a range of possible sensor parameters (pixel size)

We measure the system MTF properties using a simple slanted bar target along with the ISO 12233 standard methods.

This script is an example of a complicated (but useful) calculation. We suggest that you begin programming scripts using other, simpler routines. We include this script because it shows many features of the scripting language and the ability to interact with the GUI from scripts.

Copyright ImagEval Consultants, LLC, 2005.

Contents

ieInit

Initialize parameters

% List of parameters we will set
fNumber = 4;
dyeSizeMicrons = 512;            % Microns

clear psSize;
pSize = [2 3 5 9];                % Microns

SCENE: Create a slanted bar image. Make the slope some uneven value

scene = sceneCreate('slantedBar',512,7/3);

% Now we will set the parameters of these various objects.
% First, let's set the scene field of view.
scene = sceneAdjustLuminance(scene,100);    % Candelas/m2
scene = sceneSet(scene,'distance',1);       % meters
scene = sceneSet(scene,'fov',5);            % Field of view in degrees
% ieAddObject(scene); sceneWindow;

Create an optical image with some default optics.

oi = oiCreate;
oi = oiSet(oi,'optics fnumber',fNumber);

% Now, compute the optical image from this scene and the current optical
% image properties
oi = oiCompute(scene,oi);
% ieAddObject(oi); oiWindow;

Create a default monochrome image sensor array

sensor = sensorCreate('monochrome');                %Initialize
sensor = sensorSet(sensor,'autoExposure',1);

% We are now ready to set sensor and pixel parameters to produce a variety
% of captured images.
% Set the rendering properties for the monochrome imager. The default does
% not color convert or color balance, so it is appropriate.
ip = ipCreate;

% To see the scene, optical image, sensor or virtual camera image in the
% GUI, use these commands
%    vcReplaceObject(scene); sceneWindow;
%    vcReplaceObject(oi); oiWindow;
%    vcReplaceObject(sensor); sensorImageWindow;
%    vcReplaceObject(vci); ipWindow;

% To determine the masterRect size, run this code and use the
% measured values of masterRect.
% Historical values:
%    masterRect = [183   202   100   130];
%    pS = 1;
%    pixel = pixelSet(pixel,'size',[pS,pS]*1e-6);
%    sensor = sensorSet(sensor,'pixel',pixel);
%    sensor = sensorSet(sensor,'rows',round(dyeSizeMicrons/pS));
%    sensor = sensorSet(sensor,'cols',round(dyeSizeMicrons/pS));
%    sensor = sensorCompute(sensor,oi);
%    vcReplaceObject(sensor); sensorImageWindow;
%    vci = ipCompute(vci,sensor);
%    vcReplaceObject(vci); ipWindow;
%    [roiLocs,masterRect] = vcROISelect(vci);
masterRect = [ 199   168   101   167];   % March 12, 2007
Interpolating display SPD for consistency with new wave.

Compute MTF across pixel sizes

mtfData = cell(1,length(pSize));
for ii=1:length(pSize)

    % Adjust the pixel size (meters)
    sensor = sensorSet(sensor,'pixel size constant fill factor',[pSize(ii) pSize(ii)]*1e-6);

    %Adjust the sensor row and column size so that the sensor has a constant
    %field of view.
    sensor = sensorSet(sensor,'rows',round(dyeSizeMicrons/pSize(ii)));
    sensor = sensorSet(sensor,'cols',round(dyeSizeMicrons/pSize(ii)));

    sensor = sensorCompute(sensor,oi);
    vcReplaceObject(sensor);
    % sensorImageWindow;

    ip = ipCompute(ip,sensor);
    vcReplaceObject(ip);
    % ipWindow;

    rect = round(masterRect/pSize(ii));
    roiLocs = ieRoi2Locs(rect);

    barImage = vcGetROIData(ip,roiLocs,'results');
    c = rect(3)+1;
    r = rect(4)+1;
    barImage = reshape(barImage,r,c,3);
    % figure; imagesc(barImage(:,:,1)); axis image; colormap(gray);
    % pause;

    dx = sensorGet(sensor,'pixel width','mm');

    % Run the ISO 12233 code.  The results are stored in the window.
    % ISO12233(barImage);
    weight = [];
    mtfData{ii} = ISO12233(barImage, dx, weight, 'none');

end

% The mtfData cell array contains all the information plotted in this
% figure.  We graph the results, comparing the different pixel size MTFs.
vcNewGraphWin;
c = {'r','g','b','c','m','y','k'};
for ii=1:length(mtfData)
    h = plot(mtfData{ii}.freq,mtfData{ii}.mtf,['-',c{ii}]);
    hold on
    newText = sprintf('%.0f um\n',pSize(ii));
    nfreq = mtfData{ii}.nyquistf;
    l = line([nfreq ,nfreq],[0.1,0],'color',c{ii});
    text((nfreq-10),0.12,newText,'color',c{ii});
end

xlabel('lines/mm');
ylabel('Relative amplitude');
title('MTF for different pixel sizes (fixed die size)');
hold off; grid on