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基于彩色扫描仪的图像光谱重构

Spectral Reconstruction of Images Based on Color Scanner

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摘要

针对彩色扫描仪的特点,采用主元分析法(PCA)和反向传播(BP)人工神经网络(ANN)相结合的方法对图像光谱重构进行研究。选择IT8.7/2标准色卡作为训练样本,将该色卡中的另一组色靶作为检验样本以讨论不同网络结构以及不同主元数和训练样本数对光谱重构的影响,再以自然色系统(NCS)色卡为检验样本来分析不同种类的训练和检验样本与光谱重构性能的关系。实验结果表明,采用3-14-6网络结构和6个主元数是最佳选择,训练样本和扫描目标之间的一致性是基于彩色扫描仪图像光谱重构的关键所在。

Abstract

Based on the characteristics of the color scanner, the spectral reconstruction of images was studied using the method combining the principal component analysis (PCA) and back-propagation (BP) artificial neural network. The IT8.7/2 standard color card was adopted as the training samples, and the different set of patches in this card was used as testing samples to discuss the effect of different structure networks, principal component numbers and training sample numbers on the spectral reconstruction; meanwhile the color patches of Natural Color System (NCS) were selected as testing samples to analyze the relationship between the performance of spectral reconstruction and the different types of training and testing samples. The experimental results showed that the back-propagation (BP) network structure of 3-14-6 and 6 principal components were the best choices. The consistency between training samples and scanned objects was important for the spectral reconstruction of images based on color scanner.

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中图分类号:TP334.2+2

所属栏目:图像处理

基金项目:国家自然科学基金(60578011)资助项目。

收稿日期:2006-06-15

修改稿日期:2006-09-26

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作者单位    点击查看

邹文海:浙江大学现代光学仪器国家重点实验室, 杭州 310027
徐海松:浙江大学现代光学仪器国家重点实验室, 杭州 310027
王勇:浙江大学现代光学仪器国家重点实验室, 杭州 310027

联系人作者:邹文海(zwh_gd2001@yahoo.com.cn)

备注:邹文海(1984-),男,江西萍乡人,硕士研究生,主要从事颜色科学、图像技术等方面的研究。

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引用该论文

邹文海,徐海松,王勇. Spectral Reconstruction of Images Based on Color Scanner[J]. Acta Optica Sinica, 2007, 27(5): 859-863

邹文海,徐海松,王勇. 基于彩色扫描仪的图像光谱重构[J]. 光学学报, 2007, 27(5): 859-863

被引情况

【1】陈奕艺,徐海松,张显斗,M. Ronnier Luo. 基于数码相机的光谱重构研究. 光学学报, 2009, 29(5): 1416-1419

【2】于海琦,刘真,田全慧. 一种基于GA-RBF神经网络的打印机颜色预测模型. 激光与光电子学进展, 2015, 52(11): 113301--1

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