Wei Zhun, Chen Wen, Qiu Cheng-Wei, Chen Xudong
J Opt Soc Am A Opt Image Sci Vis. 2017 May 1;34(5):708-712. doi: 10.1364/JOSAA.34.000708.
A conjugate gradient Wirtinger flow (CG-WF) algorithm for phase retrieval is proposed in this paper. It is shown that, compared with recently reported Wirtinger flow and its modified methods, the proposed CG-WF algorithm is able to dramatically accelerate the convergence rate while keeping the dominant computational cost of each iteration unchanged. We numerically illustrate the effectiveness of our method in recovering 1D Gaussian signals and 2D natural color images under both Gaussian and coded diffraction pattern models.
本文提出了一种用于相位恢复的共轭梯度维特林格流(CG-WF)算法。结果表明,与最近报道的维特林格流及其改进方法相比,所提出的CG-WF算法能够在保持每次迭代的主要计算成本不变的情况下,显著加快收敛速度。我们通过数值方法说明了我们的方法在高斯和编码衍射图案模型下恢复一维高斯信号和二维自然彩色图像的有效性。