基于改进全变分的ESPI图像的降噪  

Noise Reduction of ESPI Images Based on Improved Total Variation

作　　者：武灿灿 侯伟[1] 辛化梅[1] 冷严[1] WU Can-can,HOU Wei,XIN Hua-mei,LENG Yan(Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China)

机构地区：[1]山东师范大学物理与电子科学学院山东省医学物理图像处理技术省级重点实验室,山东济南250014

出　　处：《软件》2018年第3期86-89,共4页Software

基　　金：国家自然科学基金(61401259);中国博士后科学基金(2015M582128)

摘　　要：图像的降噪是是各种图像信息提取和特征识别的前提。真实的电子散斑干涉条纹图中含有大量的噪声,对后续图像的相位提取造成了一定的影响。本文提出一种基于改进全变分(TV)的电子散斑干涉条纹图降噪方法。首先对图像进行小波分解,然后针对低频图像中含有原始图像绝大部分信息的特点,对小波分解后的图像进行TV降噪处理。实验表明,该方法可有效地去除电子散斑干涉条纹图中的大量噪声,图像的峰值信噪比有明显的提高,提高了散斑图像的降噪效率。Noise reduction is the precondition of various image information extraction and feature recognition. The real electronic speckle fringe pattern contains a lot of noise, which affects the phase extraction of subsequent images. In this paper, a noise reduction method based on the improved total variation（TV） for speckle pattern fringe pattern is proposed. Firstly, the image is decomposed by wavelet decomposition. Then, according to the feature that the low-frequency image contains the most information of the original image, the image is denoised by TV after wavelet decomposition. Experiments show that this method can effectively remove a large amount of noise in the speckle fringe pattern, and the peak signal to noise ratio of the image is obviously improved, which improves the noise reduction efficiency of the speckle images.

关 键 词：降噪 全变分(TV) 散斑干涉条纹图 小波分解 

分 类 号：TN911.73[电子电信—通信与信息系统]