TLCI-Concept
TLCI class hierarchy %% test samples class TTestSample name description lam val function rv = ColorCheckerTestSamples(i) return i'th sample, i in [1,24] i may be array, then return cell array of TTestSample %% camera model hierarchy class TCamera % abstract base RGB_C_prime = Response(spectrum) class TRGBFilterCamera < TCamera % most cameras use three filters rSensitivity, gSensitivity, bSensitivity class TMatrixGammaCamera <TRGBFilterCamera % The kind TLCI uses, with sensitivity, constant matrix, gamma M X_C_prime = Gamma(X_B) % abstract RGB_B = SaturationControl(RGB_M) % abstract class TTLCIStdCamera < TMatrixGammaCamera % the standard TLCI camera RGB_B = SaturationControl(RGB_M) % implementation X_C_prime = Gamma(X_B) % implementation class TGenericRGBCamera < TMatrixGammaCamera % with some generic RGB filters, Gaussian? %% Display class TDisplay XYZ = Response(RGB_C_prime) % abstract % XYZ tristimulus values class TGammaRGBDisplay < TDisplay % gamma and primaries are the only parameters, like in the TLCI % standard, XYZ = M * RGB_C_prime .^gamma gamma M % the matrix class TTLCIDisplay < TDisplay % the standard TLCI display %% Color difference class TSingleColorDifferenceCalculator delta = Diff( XYZ1, XYZ2 ) % abstract class TCIEDE2000 < TSingleColorDifferenceCalculator delta = Diff( XYZ1, XYZ2 ) % implementation % the TLCI method class TAggregateColorDifferenceCalculator % abstract class rv = Goodness( dca ) % dca is an array of real values class TTLCIColorDifferenceCalculator < TAggregateColorDifferenceCalculator rv = Goodness( dca ) % dca is an array of real values % the TLCI formula