一种基于BP神经网络和呈色原理的扫描仪色彩管理新模型  

Scanner Color Management Model Based on BP Neural Network and Color Rendering Principal

作　　者：黎新伍[1] 

机构地区：[1]江西财经大学电子商务系,南昌330013

出　　处：《电子器件》2007年第4期1432-1435,共4页Chinese Journal of Electron Devices

基　　金：江西省教育厅重点资助项目(2007259)

摘　　要：在计算机技术和多媒体技术中,扫描仪是图象信息输入的主要输入设备之一,其色彩管理模型是图像在随后复制和传输过程中保持色彩一致性的关键.本文在分析扫描物呈色原理的基础上,提出了一种基于BP神经网络的扫描仪色彩管理模型.首先,该模型对扫描数据进行归一化的预处理,以满足BP网络对数据取值范围的要求;其次,该模型以彩色梯尺区色块代表整个色空间,以减少模型的运算量;再次,模型采用运动量动态调整模型步长,以加快BP网络收敛速度.最后,实验结果表明本文模型提高了色彩转换精度,能够满足扫描仪色彩管理的工程应用需求.Scanner is the one of the main devices in the computer and multimedia technology and its color management model is the key to guarantee the color consistency in the succedent image production and transfers. The paper presents a scanner color management model based on BP neural network and the analysis of color rendering principle of scanning objects. First, scanning data is pretreated to a unitary field to satisfy the scope requirement of the input and output data of the BP model. Second, the color shade districts are taken to stand for the color space to decrease the calculation of the model. Third, the active item which can adjust BP model step dynamically is used to increase convergence speed of the BP model. Finally, the realization and experiment results show that,the compared with some methods which is have relatively high accuracy, the algorithm can improve color conversion accuracy and can satisfy the engineering requirement in scanner color management.

关 键 词：色彩管理 BP神经网络 呈色原理 彩色梯尺区 

分 类 号：TN941.1[电子电信—信号与信息处理]