在全息数据存储中以更高效率进行相位检索的低比特深度检测

IF 4.7 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-21 DOI:10.3390/photonics11070680

Hongjie Liu, Shujun Zheng, Yongkun Lin, Haiyang Song, Xianmiao Xu, Xiong Li, Jihong Zheng, Qiang Cao, Xiao Lin, Xiaodi Tan

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引用次数: 0

摘要

过去，全面的信息是图像处理的必要条件，因此人们更倾向于使用高像素相机。然而，我们在研究中发现，丰富的图像细节可能会妨碍相位检索。因此，本文提出了一种基于低位深度的迭代相位检索方法。通过模拟和实验，证明这种方法能有效提高相位检索结果。此外，低比特深度的概念有望在图像检索领域的不同领域得到更广泛的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Low-Bit-Depth Detection for Phase Retrieval with Higher Efficiency in Holographic Data Storage

In the past, comprehensive information was imperative for image processing, prompting a preference for high-depth cameras. However, in our research, we discovered that the abundance of image details may impede phase retrieval. Consequently, this paper presents an iterative phase retrieval method based on a low bit depth. Through simulations and experiments, this approach has proven effective in evidently enhancing phase retrieval outcomes. Furthermore, the concept of low bit depth holds promise for broader application across diverse domains within the field of image retrieval.

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.