We introduce a new model that consists of a color classifier followed by four non-square matrices for forward characterization of display devices (i.e. predicting the XYZ value of a displayed color when the input RGB value is known). As this forward model is not directly invertible, we present a framework for developing an optimal inverse of the forward model for characterizing display devices in the opposite direction (i.e. predicting the RGB value that should be sent to a display to obtain a known XYZ value). Finally, we discuss a method to assess the discontinuity issue of these two models on the boundaries between the color classes, and a technique which we call “overlapping training” to handle this issue. Our experimental results show that these new models outperform the conventional models with a single 3×3 or 3×10 matrix.
Thanh H. Ha, Satyam Srivastava, Edward J. Delp, Jan P. Allebach, "Monitor Characterization Model Using Multiple Non-square Matrices for Better Accuracy" in Proc. IS&T 17th Color and Imaging Conf., 2009, pp 117 - 122, https://doi.org/10.2352/CIC.2009.17.1.art00022