Application of phase recovery algorithm based on parallel architecture in holographic projection technology

WU Guang-zhi; ZHANG Han-sheng; MAO Wen-yi

doi:10.3788/YJYXS20142906.1010

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Application of phase recovery algorithm based on parallel architecture in holographic projection technology

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- Application of phase recovery algorithm based on parallel architecture in holographic projection technology
- Chinese Journal of Liquid Crystals and Displays Vol. 29, Issue 6, Pages: 1010-1015(2014)
- 作者机构：
  
  中国卫星海上测控部, 江苏江阴,214431
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20142906.1010
  CLC： TP391.9
- Received：19 November 2013，
  
  Revised：26 January 2014，
  
  Published：05 December 2014
- 稿件说明：
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吴广志, 张晗盛, 茆文艺. 基于并行结构的相位恢复算法在全息激光投影中的应用[J]. 液晶与显示, 2014,29(6): 1010-1015

WU Guang-zhi, ZHANG Han-sheng, MAO Wen-yi. Application of phase recovery algorithm based on parallel architecture in holographic projection technology[J]. , 2014,29(6): 1010-1015
吴广志, 张晗盛, 茆文艺. 基于并行结构的相位恢复算法在全息激光投影中的应用[J]. 液晶与显示, 2014,29(6): 1010-1015 DOI： 10.3788/YJYXS20142906.1010.

WU Guang-zhi, ZHANG Han-sheng, MAO Wen-yi. Application of phase recovery algorithm based on parallel architecture in holographic projection technology[J]. , 2014,29(6): 1010-1015 DOI： 10.3788/YJYXS20142906.1010.

摘要

全息激光投影技术相比传统图像显示技术有突出的优势。作为全息激光投影技术的关键图像处理算法--相位恢复算法，算法的收敛速率和精度都有待提高，在实际计算中它们的效果不够理想，甚至不能保证迭代过程总收敛到正确解。基于此，本文提出了基于并行结构的相位恢复算法（PGSGA）。该方法思路是对多个初值进行并行运算，不断筛出最优结果来对GS算法进行加速。仿真实验证明，该算法在收敛速率和恢复的灰阶图像质量等方面具有优越性。

Abstract

Compared with conventional display technology

holographic projection technology has outstanding advantages. The phase retrieval algorithm is a key image processing algorithms in holographic projection technology. The constringency speed and precision of these algorithms need to be raised. The performance of the algorithms above are not satisfactory

sometimes they cannot even guarantee that the iterative process converges to the correct solutions. Then

this paper proposes a parallel architecture based on the phase recovery algorithm-Parallel Gerchberg-Saxton with Genetic Algorithm(PGSGA). Simulation has proved that the proposed algorithm PGSGA is better in convergence rate and the restoration quality by testing gray-scale image.

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references

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