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机构地区:[1]河北工程大学信息与电气工程学院,河北邯郸056038 [2]河北工程大学理学院,河北邯郸056038
出 处:《激光与光电子学进展》2015年第4期75-82,共8页Laser & Optoelectronics Progress
基 金:国家自然科学基金(61077001);河北省自然科学基金(F2008000750;F2010001038);河北省科技支撑计划项目(09277101D);河北省教育厅科学研究重点项目(ZH2011241)
摘 要:为了提高球面参考光预放大数字全息术相位重建的精度及重建速度,采用计算机模拟与实验验证相结合的方法,对基于同态信号处理的广义线性重建算法(GL-HSP)在球面参考光预放大数字全息显微系统中的应用进行了研究。通过利用快速傅里叶变换算法(CL-FT)及GL-HSP两种算法对待测样品的强度及相位信息进行重建,并对所得结果进行对比分析,可以得出:GL-HSP算法的整象限滤波操作不仅提高了数字全息术的重建速度,而且在优化的物参比条件下,该算法极大限度地保留了频谱的高频成分,具有更高的重建精度,更加适合于微物体的高精度重建。同时实验得到的相位图标准偏差结果定量地说明了GL-HSP算法是一种优化的重建算法。In order to improve the accuracy and the speed of reconstructed image in the pre-magnification digital holographic microscopy system with spherical reference wave, the generalized linear reconstructing algorithm based on homomorphic signal processing (GL-HSP) is analyzed by computer simulation and experimental verification. Through using the algorithms based on fast Fourier transform (FFT) method and GL-HSP algorithm to reconstruct the intensity and phase information of texted samples, the reconstructed results clearly show that the GL-HSP algorithm not only has higher reconstructed accuracy, but also has higher reconstructed speed. As the GL-HSP algorithm chooses the whole quadrant as the filtered area, it has all of the high frequencies. So the GL-HSP algorithm is more suitable for high-accuracy reconstructing the micro-subjects. At the same time, the results of standard deviation in the experimental date quantitatively show the superiority of the GL-HSP algorithm.
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