通过色彩感知优化实现超高保真全彩全息显示

IF 15.7 Q1 OPTICS
Chun Chen, Seung-Woo Nam, Dongyeon Kim, Juhyun Lee, Yoonchan Jeong, Byoungho Lee
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引用次数: 0

摘要

由于全息显示是激光驱动的,因此能够生成具有宽色域的高质量图像。然而,许多现有的全息显示技术未能充分挖掘这一潜力,主要原因是系统存在缺陷。这些缺陷往往会导致色彩表现不准确,而目前还缺乏解决色彩准确性问题的有效方法。在这项研究中,我们为色彩精确的全息显示开发了一种色彩感知全息图优化方法。我们的方法将激光器和摄像头集成到全息图优化环路中,实现了激光器输出颜色的动态优化和物理捕捉反馈的获取。此外,我们还提高了全息视频显示色彩感知优化过程的效率。我们引入了级联优化策略,利用冗余的相邻全息图信息来加速迭代过程。我们通过模拟和光学实验对我们的方法进行了评估,结果表明,与之前的算法相比,我们的方法在图像质量、色彩准确性和全息图优化速度方面都更胜一筹。我们的方法验证了在全息显示中实现高保真图像的可行途径,为全息显示的实用化提供了新的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultrahigh-fidelity full-color holographic display via color-aware optimization

Ultrahigh-fidelity full-color holographic display via color-aware optimization

Holographic display offers the capability to generate high-quality images with a wide color gamut since it is laser-driven. However, many existing holographic display techniques fail to fully exploit this potential, primarily due to the system’s imperfections. Such flaws often result in inaccurate color representation, and there is a lack of an efficient way to address this color accuracy issue. In this study, we develop a color-aware hologram optimization approach for color-accurate holographic displays. Our approach integrates both laser and camera into the hologram optimization loop, enabling dynamic optimization of the laser’s output color and the acquisition of physically captured feedback. Moreover, we improve the efficiency of the color-aware optimization process for holographic video displays. We introduce a cascade optimization strategy, which leverages the redundant neighbor hologram information to accelerate the iterative process. We evaluate our method through both simulation and optical experiments, demonstrating the superiority in terms of image quality, color accuracy, and hologram optimization speed compared to previous algorithms. Our approach verifies a promising way to realize a high-fidelity image in the holographic display, which provides a new direction toward the practical holographic display.

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来源期刊
CiteScore
25.70
自引率
0.00%
发文量
0
审稿时长
13 weeks
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