论文标题
对多平台计算机生成全息图的现实散焦模糊
Realistic Defocus Blur for Multiplane Computer-Generated Holography
论文作者
论文摘要
本文介绍了一种新的多层CGH计算方法，用于重建具有自然外观的Defocus Blur的无伪影高质量全息图。我们的方法引入了一种新的目标方案和新的损失功能。虽然目标方案在每个深度平面上解释了场景的散落部分，但新的损耗函数分析以重建图像分别集中和散落的部分。我们的方法使用各种迭代（例如Gerchberg-saxton，梯度下降）和非题（例如，双相）CGH技术支持仅相位的CGH计算。我们使用基于改良的梯度下降的优化配方来实现最佳图像质量，在该配方中我们引入了受双相方法启发的约束。我们使用我们的概念验证全息图显示了实验验证我们的方法，并比较各种算法，包括稀疏和密集含量的多深度场景。
This paper introduces a new multiplane CGH computation method to reconstruct artefact-free high-quality holograms with natural-looking defocus blur. Our method introduces a new targeting scheme and a new loss function. While the targeting scheme accounts for defocused parts of the scene at each depth plane, the new loss function analyzes focused and defocused parts separately in reconstructed images. Our method support phase-only CGH calculations using various iterative (e.g., Gerchberg-Saxton, Gradient Descent) and non-iterative (e.g., Double Phase) CGH techniques. We achieve our best image quality using a modified gradient descent-based optimization recipe where we introduce a constraint inspired by the double phase method. We validate our method experimentally using our proof-of-concept holographic display, comparing various algorithms, including multi-depth scenes with sparse and dense contents.
