CRT Color Conversion by a Multi-Layer BP Neural Networks
用多隐层BP网实现的CRT色度变换

CRTs(Cathode Ray Tubes)are major display devices in computers. In practical cases, in order to display colors on a CRT on standard, we must do color calibration work for it, which is the problem of color notation conversion between the RGB space of the CRT and the XYZ space of CIE system. Neural networks is one of methods in color notation conversion. In this paper, we proposes a BP Neural networks with four hidden layer to perform the color notation conversion from RGB space to XYZ space in a computer controlled CRT system. The experimental results show our method is better than the method which using only 2~3 hidden layers, and the color conversion precision of our experiment is about 1 5 CIELUV units.