Page 208 - Computational Colour Science Using MATLAB

COMPIGOG (BOX 22) 195

11.19 compgog.m (Box 19)

% function [rgb] = compgog(gogs,dacs)
% computes the linearized RGB values
% from the normalized RGB values
% for a given set of gog values
% gog is a 2 by 1 matrix that contains the gamma and gain
% dacs is an n by 1 matrix that contains the RGB values
% rgb is an n by 1 matrix of linearized RGB values

11.20 rgb2xyz.m (Box 20)

% function [XYZ] = rgb2xyz(dacs, gogs, A)
% converts RGB DACS from a monitor to CIE XYZ
% dacs is a 3 by 1 matrix containing the RGB DACS (0-255)
% gogs is a 2 by 1 matrix containing the gamma and gain
% A is a 3 by 3 matrix to transform RGB to XYZ

11.21 xyz2rgb.m (Box 21)

% function [dacs] = xyz2rgb(XYZ, gogvals, A)
% converts XYZ to RGB DACS for a monitor
% XYZ is a 3 by 1 matrix containing the XYZ values
% gogvals is a 3 by 2 matrix containing the gamma and gain
% for each of the three channels
% A is a 3 by 3 matrix to transform RGB to XYZ

11.22 compigog (Box 22)

% function [dacs] = compgog(gogs,rgb)
% computes the normalized RGB values
% from the linearized RGB values
% for a given set of gog values
% gog is a 2 by 1 matrix that contains the gamma and gain
% dacs is an n by 1 matrix that contains the RGB values
% rgb is an n by 1 matrix of linearized RGB values