【摘要】 由于数字全息技术在三维颗粒场测量领域具有广阔的应用前景,本文基于FPGA设计并实现了一种颗粒全息图像重建算法。针对实时性要求高、全息图尺寸大且可变、重建截面数量多但硬件资源有限的场景,提出一套新的设计架构和实现方案。整体架构具有3个维度的独立性,呈现层次性和规律性。具体设计包括定点数溢出和精度损失应对策略、相移函数无滞后现场生成方案,以及高效数据加载和存储方案等,解决了上述场景下所有问题。实验结果表明,FPGA颗粒全息重建结果与参考值的结构相似性达99.8%,准确性高。在全息图尺寸为256×256、512×512、1024×1024、2048×2048时,重建耗时相比已有研究至多分别减少了47.6%、49.3%、20.9%和84.6%,计算性能提升显著。更多还原

【Abstract】 Considering the extensive application potential of digital holography in three-dimensional particle field measurement, this study designs and implements a particle holographic image reconstruction algorithm based on a field-programmable gate array(FPGA). A novel design architecture and implementation scheme are proposed to address challenges encountered in scenarios requiring high real-time performance, large and variable hologram sizes, and multiple reconstructed cross sections under limited hardware resources. The overall architecture exhibits independence in three dimensions, maintaining a hierarchical and structured approach. The specific design incorporates strategies to mitigate fixed-point overflow and accuracy loss, real-time generation of phase shift functions without delay, and optimized data loading and storage solutions, thereby effectively resolving the aforementioned challenges. Experimental results demonstrate that the structural similarity between the FPGA-based particle holographic reconstruction results and the reference values reaches 99. 8%, confirming high accuracy. For hologram sizes of 256×256, 512×512, 1024×1024,and 2048×2048, the reconstruction time is reduced by up to 47. 6%, 49. 3%, 20. 9%, and 84. 6%, respectively,compared to existing studies. Furthermore, the computational performance is significantly improved.更多还原