散斑干涉条纹图的总变分去噪方法  

Total Variation Denoising Algorithm of Speckle Pattern Interferometry Fringe

作　　者：张芳[1] 刘文耀[1] 代雷[1] 夏琳[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院,天津大学教育部光电信息重点实验室,天津300072

出　　处：《光电工程》2009年第1期26-30,共5页Opto-Electronic Engineering

摘　　要：去除散斑条纹图中的噪声是电子散斑干涉测量技术的关键问题。提出将总变分图像去噪方法应用于电子散斑干涉条纹图滤波过程中,并对保真系数进行了改进。用总变分模型定义图像的能量函数,利用变分法求得满足能量函数的最优解,将图像去噪过程转化为求解偏微分方程的过程。分别对计算机模拟的条纹图和实验获得的条纹图进行了测试,定性和定量分析的结果表明该技术能够在显著滤波的同时保持条纹的对比度。Denoising is the key problem in electronic speckle pattern interferometry. The total variation image denoising algorithm for Electronic Speckle Pattern Interferometry Fringe （ESPI） is proposed and the fidelity coefficient is improved. First, the energy function of the image is defined by total variation model, and then the optimal solution of this energy function is obtained by variation method. The method transforms the image denoising processing into solving a partial differential equation. The proposed method was tested on computer-simulated and experimental speckle fringe patterns, respectively. Both qualitative and quantitative results show that this technique is capable of not only significantly filtering but also preserving fringe contrast.

关 键 词：电子散斑干涉 滤波 总变分去噪方法 散斑干涉条纹图 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]