Page 209 - Computational Colour Science Using MATLAB

196 COLOUR TOOLBOX

11.23 getlincam.m (Box 23)

% function [out] = getlincam(p,RGB,graphs)
% function to compute polynomial fits for camera
% grey-scale data. The inputs are p (a set of n by
% 1 mean reflectance values) and RGB ( a set of 3 by
% n RGB triplets). If graphs is set to ’on’ then
% a plot fo the fits is generated

11.24 lincam (Box 24)

% function [RGBout] = lincam(caldata,RGB)
% computes linearized camera values using
% polynomial transforms obtained from getlincam
% caldata is a 3 by 4 matrix produced from getlincam.m
% RGB is an n by 3 matrix of RGB values (in range 0-255)

11.25 gettrc (Box 25)

% function [p] =; gettrc(dig,R,W,Solid,n,graphs)
% gettrc function to compute the trc for an ink
% function [p] =; gettrc(dig,R,W,Solid,n,graphs);
% dig is an 1 by n matrix of target area coverages
% R is an n by m matrix of measured reflectance values
% W is a 1 by m matrix of reflectance for the white substrate
% Solid is a 1 by m matrix of reflectance for the solid ink
% n is a free parameter 4 0
% graphs =; ’on’ for graphical display
% p is a matrix containing the coefficients of a polynomial
to
% relate target coverage to actual coverage