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作 者:徐鹏 章海军[2] 张克奇[1] 毛磊 邱元芳 赵巨峰 Xu Peng;Zhang Haijun;Zhang Keqi;Mao Lei;Qiu Yuanfang;Zhao Jufeng(Ningbo Yongxin Optics Co.,Ltd.,Ningbo,Zhejiang 315040,China;College of Optical Science and Engineering,Zhejiang University,Hangzhou,Zhejiang 310027,China;Jiyang College of Zhejiang A&F University,Zhuji,Zhejiang 311800,China;School of Electronics and Information Engineering,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China)
机构地区:[1]宁波永新光学股份有限公司,浙江宁波315040 [2]浙江大学光电科学与工程学院,浙江杭州310027 [3]浙江农林大学暨阳学院,浙江诸暨311800 [4]杭州电子科技大学电子信息学院,浙江杭州310018
出 处:《光学学报》2021年第11期226-233,共8页Acta Optica Sinica
基 金:浙江省博士后科研资助项目(2019121128);绍兴市科技计划项目(2018C20013);浙江农林大学暨阳学院科研发展基金项目(JY2018RC02);浙江省装备电子研究重点实验室开放基金项目(GK190901207001)。
摘 要:彩色数码相机通常利用目标样本建立色度特征化模型,目标样本将影响相机响应值与色度值之间的映射关系。现有的目标样本选择方法忽略了目标样本的普适性,即基于优化的目标样本建立的色度特征化模型应对任何颜色样本都适用,为此提出了基于均匀颜色样本的数码相机色度特征化目标优化方法。首先,从大量真实物体的光谱反射比中挑选均匀颜色样本,然后,结合色度特征化模型在均匀颜色样本中优化目标样本。实验结果表明,目标样本的优化受数据类型和色度特征化模型的影响,因而得到了不同的优化目标样本,且优化目标样本的色度特征化性能优于典型的目标样本。同时,对于RAW数据,目标样本数量的增加并不一定提高线性色度特征化模型的精度,而对于sRGB数据,较多的目标样本将有利于提升多项式色度特征化模型性能。Digital cameras usually build a colorimetric characterization model through target samples,which,however,will affect the mapping between the cameras’response values and the colorimetric values.The existing selection methods for target samples ignore the generality of target samples,namely that the colorimetric characterization model built based on the optimized target samples should be applicable to any color samples.Therefore,we proposed an optimization method of colorimetric characterization targets for the digital cameras based on uniform color samples.First,uniform color samples were selected from the spectral reflectance of extensive real objects.Then,the colorimetric characterization model was combined to optimize the target samples among the uniform color samples.The results show that the optimization of target samples is subject to the data type and the colorimetric characterization model.Consequently,different optimized target samples are obtained,and the optimized target samples outperform the typical target samples in terms of colorimetric characterization.In addition,for the RAW data,an increase in the number of target samples does not necessarily improve the accuracy of a linear colorimetric characterization model,while for the sRGB data,more target samples will be beneficial for enhancing the performance of a polynomial colorimetric characterization model.
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