光学学报, 2014, 34 (10): 1033001, 网络出版: 2014-09-09   

基于亮度信息匹配的国画艺术品图像重建研究

Research on Image Reconstruction of Traditional Chinese Painting Art Based on Radiance Information Matching
作者单位
云南师范大学物理与电子信息学院, 云南 昆明 650500
摘要
对国画样品反射参量和特性进行测量与分析,结合色度学相关理论提出了一种利用亮度信息匹配的国画图像重建方法。采用色调饱和度亮度(HSI)色空间对国画辐亮度与色度信息进行分离,利用Gaussian函数对不同照明角度下PR-715实测图像色块亮度数值进行拟合,从而建立对应的空间亮度函数关系式。选择90°照明角实拍图像为参考色块,将该图像HSI色空间的色度信息与拟合空间亮度信息相结合,重建出任意照明角度下的国画色块图像,并与Canon EOS 400D单反相机实拍图片进行比较分析。结果表明,利用亮度信息匹配方法能够准确对国画色块图像进行重建,该方法具有较高可行性与可靠性,对绘画艺术品文化遗产数字化的重建与真实复制有重要的实际应用价值。
Abstract
Reflection parameters and characteristics of traditional Chinese painting samples are measured and analyzed. A method used to reconstruct traditional Chinese painting image based on radiance information matching is put forward to combine with the colorimetry theory. Hue saturation intensity (HSI) color space is used to separate traditional Chinese painting information of luminance and chroma, and the radiance values which are measured by PR-715 under different illuminating angles are fitted depending on Gaussian function. Thereby the relationship of spatial function between radiance and illuminating angles is built. Images which are shot under 90° illuminating angle are chosen to be the referential color pieces. The images of traditional Chinese painting color pieces can be reconstructed by combining the information of radiance in imaging HSI color space and functional expression of spatial fitting radiance. The results are compared with the real pictures which are shot by Canon EOS 400D single lens reflex camera. Results indicate that images of traditional Chinese painting color pieces can be reconstructed accurately depending on radiance information matching. This method has high feasibility and reliability, as well as important practical application value for reconstruction and reproduction of the digital cultural heritage for painting art.

秦锋, 杨卫平, 杨葭, 李宏宁, 罗艳琳, 吕宪魁, 刘屹超, 邹纪平. 基于亮度信息匹配的国画艺术品图像重建研究[J]. 光学学报, 2014, 34(10): 1033001. Qin Feng, Yang Weiping, Yang Jia, Li Hongning, Luo Yanlin, Lü Xiankui, Liu Yichao, Zou Jiping. Research on Image Reconstruction of Traditional Chinese Painting Art Based on Radiance Information Matching[J]. Acta Optica Sinica, 2014, 34(10): 1033001.

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