摘要
为了消除传统算法对数字全息重构过程中会出现0级像、共轭像干扰的问题,将压缩感知理论与数字全息图再现相结合,提出了基于全变差的两步迭代收缩阈值重构算法(TwIST),并应用于数字全息图压缩感知全息图重建。TwIST算法根据重构成分的特点增加正则约束,对相应的形态进行调整,在满足全变差最小的特性的基础上进行重构,提高了重构全息图的质量。结果表明,TwIST算法可以对数字全息图稀疏重建,利用35%的部分全息图数据进行图像重构,重构图像峰值信噪比为36.46dB,且没有0级像和共轭像等干扰。该研究结果对实现计算全息的实时性具有重要的意义。
In order to eliminate the zero-order image and the conjugate image interference problems in the traditional algorithm for reconstruction of digital hologram , a new algorithm based on the total variation of the two-step iterative shrinkage thresholding ( TwIST ) was proposed combining compressive sensing theory with reconstruction of the digital hologram .According to the characteristics of the reconstruction component , the TwIST algorithm based on the total variation improves the quality of the reconstruction of hologram .The simulation results show that the hologram can be reconstructed from a sparse hologram with TwIST reconstruction algorithm a high quality image was reconstructed from 35%of a hologram and the peak signal-to-noise ratio ( PSNR) of the reconstructed image was 36.46dB without zero-order image and conjugate image interference .The study is helpful for implementing real-time computer-generated hologram .
出处
《激光技术》
CAS
CSCD
北大核心
2014年第2期236-239,共4页
Laser Technology
基金
上海市高等学校建设基金资助项目(2009014)
上海市研究生创新基金资助项目(JWCXSL1302)
关键词
全息
压缩感知
计算全息
数字全息图
全变差重构算法
holography
compressive sensing
computer-generated hologram
digital hologram
total variationreconstruction algorithm