二值化计算全息图的滤波研究  

Study on Filtering in Binarized Computation of Holographic Images

作　　者：解文博 王庆[1] XIE Wen-bo;WANG Qing(Faculty of Light Industry,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,China)

机构地区：[1]齐鲁工业大学(山东省科学院)轻工学部,济南250353

出　　处：《印刷与数字媒体技术研究》2025年第1期62-70,共9页Printing and Digital Media Technology Study

摘　　要：为了解决二值化过程带来的噪声问题,进而提升全息重建图像的质量,本研究设计了二值化计算全息图滤波的整体方案。本研究深入分析了二值化处理对全息图噪声特性的影响,探讨了滤波与二值化处理的顺序,以及8种不同滤波技术对二值化全息图像重建质量的具体影响。实验结果表明,由二值化引入的噪声主要集中在图像的亮调和暗调区域,利用滤波降低噪声时,需采用滤波前置方式。其次,在8种滤波过程中,平滑类滤波、锐化类滤波及同态滤波虽然对于全息二值化的噪声有一定补偿作用,但效果甚微。其中,直方图类滤波方式中的局部直方图和自适应直方图滤波降噪效果相对明显。研究表明直方图类滤波方式可以有效提高二值全息重建图的对比度并且对于图片适用泛性好,在提高二值化全息重建图像质量中是最有潜力的滤波方式。Aimed at addressing the noise issues introduced during the binarization process to enhance the quality of holographic reconstruction images,a comprehensive scheme for filtering binary holograms was presented in this study.In this study,the noise characteristics introduced by binarization into holograms,the impact of the sequence of filtering and binarization processes,and the effects of eight different filtering methods on the quality of binary holographic reconstructed images were analyzed.The results showed that the noise induced by binarization was primarily concentrated in the bright and dark areas of the image.When the noise through filtering was reduced,it was beneficial to employ a pre-filtering approach.Among the eight filtering processes,smoothing filters,sharpening filters,and homomorphic filters provided some compensation for the noise in holographic binarization,but their effectiveness was limited.Notably,in histogram-based filtering methods,local histogram and adaptive histogram filters demonstrated a relatively significant noise reduction.The study proved that histogram-based filtering methods effectively enhance the contrast of binary holographic reconstructed images and exhibit excellent versatility.They are the most promising filtering approaches for improving the quality of binary holographic reconstructed images.

关 键 词：滤波 二值化 离轴计算全息图 全息重建图像 

分 类 号：TS801.8[轻工技术与工程]