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基于光谱连接空间的彩色相机光谱重构研究 被引量:3

Spectral Reconstruction from Trichromatic Digital Camera Responses Based on Interim Connection Space for Spectral Data
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摘要 针对彩色相机三通道响应值重构光谱反射率精度低的问题,提出了基于光谱连接空间的彩色相机光谱反射率重构方法。首先通过光谱反射率已知的训练样本集和多项式拟合方法建立相机响应值到光谱连接空间的转换矩阵,然后利用该矩阵将待重构样本的相机响应值映射到光谱连接空间,最后选用合适的光谱重构算法在光谱连接空间内实现光谱反射率重构,并利用色度误差和光谱误差两个指标对重构结果进行评价。在上述过程中,鉴于转换矩阵的重要性,采用了基于反距离加权的最小二乘法计算转换矩阵以提高相机响应值到光谱连接空间的转换精度。实验结果表明:本文方法切实可行且精度可靠,与基于彩色相机三通道响应值的光谱重构方法相比,色度重构精度和光谱重构精度均显著提高,平均色差和谱差分别为1.145 2和0.010 3,可在较大程度上满足数字典藏、高保真颜色复制等的需要。 Aiming at the problem of poor spectral reconstruction accuracy from trichromatic camera responses,a method was presented for spectral reflectance reconstruction based on the interim connection space( ICS) for spectral data and trichromatic digital camera. Firstly,the training samples with known spectral reflectance and polynomial fitting method were utilized to establish a transform matrix from the trichromatic camera responses to the ICS response values. Then,the target samples or pixels were mapped to the ICS by means of the transform matrix. Finally,spectral reflectance reconstruction of each sample or pixel was implemented via an appropriate spectral reconstruction algorithm using ICS response values and the reconstruction accuracy is evaluated in terms of chromaticity difference and spectral root mean square error. In addition,the inverse distance weighted least square method was applied to calculate the transform matrix to improve the conversion accuracy from the camera response to the ICS response value. The experimental results show that the proposed method is feasible and has reliable precision. Compared to the spectral reflectance reconstruction from trichromatic camera responses,the chromaticity reconstruction accuracy and spectral reconstruction accuracy of the proposed method are significantly improved. The mean chromaticity difference and mean spectral root mean square error are 1. 145 2 and 0. 010 3,respectively. It can meetthe needs of digital archives,high fidelity color reproduction,etc.
出处 《发光学报》 EI CAS CSCD 北大核心 2016年第12期1571-1578,共8页 Chinese Journal of Luminescence
基金 国家文物局文物保护领域科学和技术研究一般课题(2013-YB-HT-034) 国家自然科学基金(651275172 61405104 61575147)资助项目
关键词 光谱连接空间 光谱重构 反距离加权最小二乘法 interim connection space for spectral data spectral reflectance reconstruction inverse distance weighted least square method
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  • 1胡涛,汪鑫,张志刚.人工神经网络在CRT色空间变换的应用[J].现代电子技术,2005,28(2):71-72. 被引量:6
  • 2楼文高,匡罗平,王晓红.建立CRT色度变换的神经网络模型[J].光电工程,2006,33(5):118-121. 被引量:6
  • 3徐艳芳,刘文耀,武兵,黄敏.人工神经网络在色彩变换中的应用[J].武汉大学学报(信息科学版),2006,31(9):799-801. 被引量:2
  • 4Zhi Chuan,Zhou Shisheng. The research on color space transformation model between RGB and L" a" b~ based on BP neural network[C] // Proceedings of The 2nd In ternational Conference on Graphic Communica-tions. Wuhan, China: [s. n. ], 2008,74(2) :539 - 543.
  • 5Li Xinwu. A new model of printer color managementbased on legendre neural network[C] // Proceedings of Eighth AC]S International Conference on Software Engi- neering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. Qingdao, China: [ s. n.], 2007:70-75.
  • 6张国良,曾静,等.模糊控制及其MATLAB应用[M].西安:西安交通大学出版社,2003.
  • 7Morovic J,Luo M R.Calculating Medium and Image Gamut Boundaries for Gamut Mapping[].Color Research and Application.2000
  • 8Hoyer P O.Non-negative matrix factorization withsparseness constraints[].Journal of machine learn-ing research.2004
  • 9TASTL I,BHACHECH M,MORONNEY N,HOLMJ.ICC colour management and CIECAM02[].IS&T/SID th Color Imaging Conference.2005
  • 10Y.H.Zhao,L.A.Taplin,M.Nezamabadi,,R.S.Betas.Methods of spectral reflectance reconstruction for a sinarback 54 digital camera[].Munsell Color Science Lab Technical Report.2004

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