再现图像细节抑制散斑噪声技术研究  

Study on Denoising Technology to Reproduction Image Detail

作　　者：吴育民 段海燕[2] 文永富 程灏波 王谭 WU Yumin;DUAN Haiyan;WEN Yongfu;CHENG Haobo;WANG Tan(Shenzhen Research Institute,Beijing Institute of Technology,Shenzhen 518057,Guangdongy P.R.China;Beijing Institute of Space Mechanics and Electricity,Beijing 100083,P.R.China)

机构地区：[1]北京理工大学深圳研究院,广东深圳518057 [2]北京空间机电研究所,北京100083

出　　处：《影像科学与光化学》2018年第2期187-191,共5页Imaging Science and Photochemistry

基　　金：深圳市科技创新计划资助项目(JCYJ20170412112640428;JCYJ20170224172022809)

摘　　要：为了消除数字全息再现像产生的散斑噪声,一种基于边缘检测各向异性扩散方程的去噪算法被提出。在各向异性扩散方程(PM)基础上,通过将边缘检测算子结合梯度算子引导扩散过程,边缘检测算子对噪声具有低敏感度,可以更好地区分边缘信息,达到数字全息再现像去噪目的。通过去噪效果图对比和与中值滤波、均值滤波、小波变换滤波算法峰值信噪比(PNSR)的比较,表明本文提出的算法具有更好的去噪效果,在去除噪声的同时有效保护了图像的细节信息。In order to eliminate speckle noise in digital holographic reconstructed image,a denoising method based on edge detection anisotropic diffusion equation(PM)is proposed.The diffusion process is guided by the edge detection operator instead of the gradient operator.The edge detection operator is less sensitive to noise,and can better recognize the edge information of reconstructed image.Compared to median filtering,mean filtering,wavelet transform filtering algorithm of peak signal-to-noise ratio(PNSR),the experiments show that the proposed algorithm has better denoising effect,and can effectively protect the details of the image in the process of denoising.

关 键 词：数字全息 散斑去噪 各项异性扩散 边緣检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]