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。

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.