论文标题
使用排序的像素选择改进全息搜索算法
Improving Holographic Search Algorithms using Sorted Pixel Selection
论文作者
论文摘要
与竞争对手的方法相比，诸如直接搜索和模拟退火之类的计算机全息图生成的传统搜索算法（例如直接搜索和模拟退火）提供了一些最佳的全息图品质。但是，他们的生成时间缓慢和高处理能力需求意味着他们在绩效关键应用程序中几乎没有用。本文介绍了全息搜索算法（HSAS）的新型排序像素选择（SPS）修改，该算法（HSAS）可为所使用的测试图像提供均值误差（MSE）减少14.7-19.2％的范围。 SPS通过将加权搜索选择过程替换为传统的随机像素选择过程。虽然很小，但在广泛的测试案例中始终如一地观察到所见的改进，并且需要有限的开销才能实施。
Traditional search algorithms for computer hologram generation such as Direct Search and Simulated Annealing offer some of the best hologram qualities at convergence when compared to rival approaches. Their slow generation times and high processing power requirements mean, however, that they see little use in performance critical applications. This paper presents the novel Sorted Pixel Selection (SPS) modification for Holographic Search Algorithms (HSAs) that offers Mean Square Error (MSE) reductions in the range of 14.7 - 19.2% for the test images used. SPS operates by substituting a weighted search selection procedure for traditional random pixel selection processes. While small, the improvements seen are observed consistently across a wide range of test cases and require limited overhead for implementation.
