Colour-Appearance Modeling Using Feedforward Networks with Bayesian Regularization Method- Part I: Forward Model

摘要

In this article, a method of predicting colour appearance (from colorimetric attributes to colour-appear- ance attributes, i.e., forward model)using an artificial neural networks is presented. The neural network model developed is a multilayer feedforward neural network model for predicting colour appearance(FNNCAM for short). The model was trained by LUTCHI colour-appear- ance datasets. The Levenberg-Marquardt algorithm is in- corporated into the back-propagation procedure to accel- erate the training of FNNCAM and the Bayesian regularization method is applied to the training of neural networks to improve generalization. The results of FNNCAM obtained are quite promising.