基于粒子群算法分析随机相位对全息图的质量影响  

Particle swarm optimization for analyzing the influence of random phase on the quality of hologram

作　　者：许雪莹 徐果 孔勇[1] 杜彤耀 于慧 XU Xu-ying;Xu Guo;KONG Yong;DU Tong-yao;YU Hui(Shanghai University of Engineering and Technology,Shanghai 201620,China)

机构地区：[1]上海工程技术大学,上海201620

出　　处：《光电子．激光》2019年第1期104-110,共7页Journal of Optoelectronics·Laser

基　　金：上海重点科委基金(18511101600)资助项目

摘　　要：因为相息图具有很好的衍射效率,所以经常被用在计算全息中。在计算相息图时,随机相位被加入到物体对象中从而扩散全息图中的物体光,但随机相位的添加会造成重建图像中产生相当大的散斑噪声。为了改善这一问题,本文首先针对随机相位的范围进行分析,研究了初始的随机相位对全息图成像质量的影响,再通过粒子群算法寻找最优的随机相位范围。在计算全息图时会存在部分信息的丢失,所以对全息图进行迭代运算能弥补全息图间的差异。故在本文还将结合改进的迭代傅里叶变换算法来有效的改善重建图像的质量,即提出了一种基于粒子群算法分析有限随机相位对全息图质量影响的方法。通过对以上过程进行数值模拟和光学实验,最后的实验结果表明,通过寻找最优的随机相位范围以及改进的迭代傅里叶变换算法能够改善重建图像的散斑噪声得到高质量的重建像。Because the kinoform has good diffraction efficiency,it is often used in computer-generated holograms.When calculating the kinoform,a random phase is added to the object to diffuse the object light in the hologram.However,the addition of random phase will cause considerable speckle noise in the reconstructed image.In order to improve this problem,in this paper,we first analyze the range of random phase,study the influence of initial random phase on the imaging quality of hologram,and then find the optimal random phase range by particle swarm optimization.There is some loss of information when calculating the hologram,so the iterative operation of the hologram can make up for the difference between the holograms.Therefore,this paper will also combine the improved iterative Fourier transform algorithm to effectively improve the quality of reconstructed images,and a method based on particle swarm optimization for analyzing the influence of finite random phase on hologram quality is proposed.Through numerical simulation and optical experiments on the above process,the results show that the high-quality reconstructed image can be improved by finding the optimal random phase range and using the improved iterative Fourier transform algorithm to reduce the speckle noise of the reconstructed image.

关 键 词：散斑噪声 迭代算法 随机相位 粒子群算法 

分 类 号：TN26[电子电信—物理电子学]