激光与光电子学进展, 2020, 57 (16): 161007, 网络出版: 2020-08-05   

并行相移数字全息条纹分析插值算法的设计 下载: 822次

Design of Parallel Phase-Shifting Digital Holographic Fringe Analysis Interpolation Algorithm
鄂雪飞 1,2冷俊敏 1,2,*
作者单位
1 北京信息科技大学信息与通信工程学院, 北京100101
2 北京信息科技大学光电测试技术及仪器教育部重点实验室, 北京 100101
摘要
为减小并行相移数字全息重建过程中的插值误差、提高再现图像的质量,提出了一种基于全息图像条纹特性和像素分布的并行相移数字全息条纹分析插值算法。该算法首先根据相移特性从并行相移数字全息图中提取各同相全息图像,将各图像分为3×3的方块区域;按照全息条纹特性对分割的方块区域进行多方向插值,根据多方向插值后的图像频域特性进行选择性合并,生成新的全息再现物场。实验结果表明:与传统并行相移全息插值算法相比,所提算法可将再现图像的峰值信噪比提高45%以上;与其他改进算法相比,所提算法的计算时间缩短为原来的一半左右。所提算法能更好地重建并行相移数字全息图像,减小插值误差,保留细节信息,提高再现图像质量,可用于很多领域的动态三维物场信息的获取,如生物细胞观测、移动物体体检、微观粒子成像和跟踪等领域。
Abstract
To reduce the interpolation error in parallel phase-shifting digital holographic reconstruction and improve the quality of the reconstructed image, an interpolation algorithm of parallel phase-shifting digital holographic fringe analysis is proposed on the basis of holographic image fringe features and pixel distribution. First, holographic images with the same phase are extracted from the parallel phase-shifting digital hologram according to the phase-shifting characteristics, and each image is divided into 3×3 square areas. Then, multiple-direction interpolation is carried out in the divided square areas according to the holographic fringe characteristics. The image frequency-domain characteristics after multiple-direction interpolation are combined selectively, and the newly generated holographic field is reconstructed from the merged image. Experimental results show that the peak signal to noise ratio of the reconstructed image obtained by the proposal method is more than 45% higher than that of the traditional parallel phase-shifting holographic interpolation algorithm. And the computing time can be reduced to about half of that of other interpolation algorithms. The proposed algorithm can better reconstruct parallel phase-shifting digital holographic images, reduce the interpolation error, keep the detailed information, and improve the quality of the reconstructed image. The proposal algorithm can be applied to obtain three-dimensional field information in many fields, such as biological cell observation, physical examination for moving object, and microscopic particle imaging and tracking.

鄂雪飞, 冷俊敏. 并行相移数字全息条纹分析插值算法的设计[J]. 激光与光电子学进展, 2020, 57(16): 161007. Xuefei E, Junmin Leng. Design of Parallel Phase-Shifting Digital Holographic Fringe Analysis Interpolation Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161007.

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