基于改进BP神经网络的显示器色空间转换

The display color space conversion based on improved method of BP neural network

彩色显示器是用来传达颜色的重要工具,而色彩在不同设备或系统上往往会有差异,所以对显示器建立一个色彩管理系统很有必要.用色彩管理软件和分光光度仪对显示器进行屏幕的校准和特性化,采用改进的BP神经网络法建立了从RGB色空间到Lab色空间的转换模型.通过对实验数据进行对比分析可知,这种算法对色彩空间的转换具有较好的非线性拟合能力和更高的预测准确性.

Color CRT is an important tool to communicate, and color in different equipment and systems are often different, therefore a color management system based on the display is very necessary. Calibration and characteristics of color management software and spectrophotometer were on display screen, color space model from the RGB color space is transformed into Lab is built using the improved method of BP neural network. The experimental data is compared and analyzed. Results show that the algorithm of this method has good non-linear fitting capability and higher prediction accuracy of color space conversion.