Application of neural networks on color error reductions in television receivers

The application of neural networks to color error reduction in television receivers was investigated. The best results were obtained with a backpropagation neural network using one hidden layer of seven processing elements. Approximately a 70% reduction in color errors was achieved. The color error reduction was displayed on a CIE chromaticity diagram and tested with a video graphics system. Color measurements were made with this system. Both the simulation chromaticity diagram and the video color test system verified the neural network results