色调分区加权约束的色调平面保持相机特性化  

Hue-Subregion Weighted Constrained Hue-Plane Preserving Camera Characterization

作　　者：尹永恒 马龙[2] 李鹏[1] Yin Yongheng;Ma Long;Li Peng(School of Computer Science and Engineering,Shenyang Jianzhu University,Shenyang 110168,Liaoning,China;School of Science,Shenyang Jianzhu University,Shenyang 110168,Liaoning,China)

机构地区：[1]沈阳建筑大学计算机科学与工程学院,辽宁沈阳110168 [2]沈阳建筑大学理学部,辽宁沈阳110168

出　　处：《光学学报》2024年第9期293-303,共11页Acta Optica Sinica

基　　金：国家自然科学基金(52078308)。

摘　　要：为了在色调平面保持优良性能的基础上,进一步提高相机特性化性能,本文提出了色调分区内加权约束的色调平面保持相机特性化方法,通过优化色调分区改进加权约束的色调平面保持相机特性化。首先,对样本RGB进行初步划分色调分区,然后,在色调分区内结合色调角对分区内样本的特性化矩阵加权平均得到本分区的特性化变换矩阵,其中通过优化色调分区的数量和位置来提升总体性能。实验结果表明,在D65光源的三组光谱数据和两组相机数据的仿真实验和曝光改变实验,以及三组光源和42组相机数据的补充仿真实验下,本文提出的相机特性化方法的性能优于已有的色调平面保持方法,且优于高阶多项式、根多项式方法或者与之持平,说明优化色调分区应用于相机特性化方法能够提升色调平面保持的相机特性化性能。Objective Color reproduction plays a very important role in textile,printing,telemedicine,and other industries,but affected by the manufacturing process or color rendering mechanism of digital image acquisition equipment,color image transmission between digital devices often has color distortion.Meanwhile,once the distortion appears,the abovementioned industries will suffer losses or even irreversible damage.During color image acquisition,the most commonly employed acquisition equipment is the digital camera,which is an important method to convert the color image collected by the digital camera into the image seen by the human eye(or the camera characteristic method).Although the existing nonlinear camera characterization methods have the best camera characterization performance at present,these methods have hue distortion.To retain the important properties of the hue-plane preserving and further improve the camera characterization performance,we propose a hue-subregion weighted constrained hue-plane preserving camera characterization(HPPCC-NWCM)method.Methods The proposed method improves weighted constrained hue-plane preserving camera characterization from the perspective of optimizing the hue-subregion.First,the camera response value RGBs and the colorimetric value XYZs of the training samples are synchronously preprocessed,with the hue angles calculated and hue subregions preliminarily divided.Then,by operating in the hue subregion,the minimum hue angle differences between each training sample and the samples in the hue subregion are employed as the weighted power function,and the pre-calculation camera characterization matrices(pre-calculation matrices)are calculated for each sample respectively.Additionally,the weighted constrained normalized camera characterization matrix in the hue subregion is obtained by weighted averaging of the pre-calculation matrices using the weighted power function.Combined with the characterization results of samples within the hue subregion and all samples,the number and positio

关 键 词：颜色 相机特性化 色调平面保持 加权约束 优化色调分区 

分 类 号：O432.3[机械工程—光学工程]