数字全息技术中散斑噪声滤波算法比较  

Comparison of algorithms for filtering speckle noise in digital holography

作　　者：潘云[1] 潘卫清[2] 晁明举[1] 

机构地区：[1]郑州大学物理工程学院,河南郑州450001 [2]浙江科技学院理学院,浙江杭州310023

出　　处：《应用光学》2011年第5期883-887,共5页Journal of Applied Optics

基　　金：国家自然科学基金(51005212)资助项目;浙江省科技计划(2010C31095)项目;浙江科技学院学科交叉预研(F703108A01)重点项目

摘　　要：在数字全息测量记录过程中,其所记录的全息图易受到散斑噪声的污染造成分辨率下降,同时也严重影响数字全息再现的效果,因此研究适用于数字全息技术中散斑滤波的算法具有重要的实用价值。介绍了中值滤波、Lee滤波、Kuan滤波和SUSAN滤波这四种常用的散斑滤波算法,并将它们运用于数字全息实验所记录图像和数字再现图像的散斑噪声滤波处理中,然后对这四种算法的处理结果进行评价。结果表明,在数字全息技术中使用SUSAN滤波算法进行处理,既明显抑制了散斑噪声,又有效保证了再现图像信息的完整性。In the recording process of digital holographic measurement,the hologram is easily polluted by speckle noise,which may decrease the resolution of the hologram.In addition,the reconstructed effect is seriously affected by speckle noise in digital reconstruction.Thus it is important to study the filtering speckle algorithms for digital hologram.The median filtering algorithm,Lee filtering algorithm,Kuan filtering algorithm and SUSAN filtering algorithm were introduced to filter the speckle noise in hologram and reconstructed image.Then these algorithms were compared.The results showed that the SUSAN filtering algorithm was better in digital holographic technology.The speckle noises were suppressed significantly and the information of reconstructed images were well maintained.

关 键 词：数字全息 滤波算法 算法比较 散斑噪声 

分 类 号：TN209[电子电信—物理电子学] O438.1[机械工程—光学工程]