Neural Network Method for Colorimetry Calibration of Video Cameras

To transfer the color data from a device (video camera)-dependent color space into a device-independent color space, a multilayer feedforward network with the error backpropa-gation (BP) learning rule, was regarded as a nonlinear transformer realizing the mapping from the RGB color space to CIELAB color space. A variety of mapping accuracy were obtained with different network structures. BP neural networks can provide a satisfactory mapping accuracy in the field of color space transformation for video cameras.