BP神经网络在颜色空间转换中的应用

Application of the BP Neural Network in Color Space Conversion

色彩管理在彩色印刷中对印品质量起着非常关键的作用,而颜色空间转换又是其中尤为重要的组成部分。近年来业内人士采用诸多方法对颜色空间转换进行了研究。本文从理论基础和建模过程两方面对基于BP神经网络的颜色空间转换方法进行了系统研究,并以三维查找表法为对象对其进行了模拟对比分析。研究表明:基于BP神经网络的颜色空间转换方法理论简单,建模方便快捷,适应性强,易于推广。但目前其建模精度稍低。可以预见,随着建模方法的改进,该方法用于颜色空间转换将会有广阔的发展空间。

Color management plays a key role to the presswork quality during the process of printing and color space conversion is the particularly important component of the color management. In recent years, color space conversion was studied with various of methods. In this paper, the method of color space conversion based on the BP neural network was researched from the theoretical foundation and the modeling process, and simulating analysed using the 3D-LUT method as the object. This research indicatesd that the method of color space conversion based on the BP neural network has the advantages of simpleness in theory, modeling fast and convenient, adaptability and easy to promote, but its modeling accuracy was slightly lower now. It can be predicted that with the improvement of the modeling method, this method for color space conversion will have a broad space for development.