逼真的离焦模糊多平面计算机生成全息

Koray Kavaklı, Yuta Itoh, H. Urey, K. Akşit
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引用次数: 8

摘要

本文介绍了一种新的多平面CGH计算方法,用于重建具有自然散焦模糊的无伪影高质量全息图。我们的方法引入了一种新的目标格式和新的损失函数。虽然目标方案考虑了场景在每个深度平面上的散焦部分,但新的损失函数在重建图像中分别分析了聚焦和散焦部分。我们的方法支持使用各种迭代(例如,Gerchberg-Saxton,梯度下降)和非迭代(例如,双相)CGH技术的纯相位CGH计算。我们使用改进的基于梯度下降的优化配方来实现最佳图像质量,其中我们引入了受双相位方法启发的约束。我们通过实验验证了我们的方法,使用我们的概念验证全息显示器,比较了各种算法,包括具有稀疏和密集内容的多深度场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realistic Defocus Blur for Multiplane Computer-Generated Holography
This paper introduces a new multiplane CGH computation method to reconstruct artifact-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.
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