复杂脱胎漆器表层图像缺损信息修复仿真研究

Research on Simulation and Reconstruction of Image Defects in Skin Image of Complex Boring Lacquerware

为了复原复杂脱胎漆器表层图像的缺损信息,需要对脱胎漆器表层图像缺损信息修复方法进行研究。采用当前脱胎漆器表层图像缺损信息修复方法对脱胎漆器表层图像的缺损信息进行修复时的信噪比较高、有效性差。提出一种复杂脱胎漆器表层图像缺损信息修复方法,在TV降噪模型的基础上构建脱胎漆器表层图像分解模型,采用图像能量模型对能量函数的极值进行计算,根据计算结果结合Euler-Lagrange方程得到分解后的脱胎漆器表层图像。根据脱胎漆器表层图像分解模型得到脱胎漆器表层图像缺损结构曲率和颜色,并对其相似度进行度量得到相似性边缘,通过相似性边缘完成图像缺损部分的连接,得到重构后的复杂脱胎漆器表层图像,完成复杂脱胎漆器表层图像缺损信息的修复。仿真结果表明,所提方法的信噪比高、有效性高。

In this paper,a method to repair the missing information in surface image of complex bodiless lacquer ware was put forward.Based on TV noise reduction model,image decomposition model of surface image of bodiless lacquer ware was built.Then,the image energy model of image was used to calculate the extremum of energy function.Combined calculation result with Euler-Lagrange equation,the decomposed surface image of bodiless lacquer ware was obtained.According to the decomposition model of surface image of bodiless lacquer ware,the curvature and color of missing structure in the surface image of bodiless lacquer ware were obtained.Meanwhile,the similarity degree was measured to obtain the similarity edge.Finally,the similarity edge was used to complete the connection of missing part in image defect and get the reconstructed surface image of complex bodiless lacquer ware.Thus,we completed the restoration the missing information in surface image of complex bodiless lacquer ware.Simulation results show that the proposed method has high signal-to-noise ratio and high efficiency.