Phase noise reduction in digital holographic microscopy based on adaptive filtering and total directional variation

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-09-18 DOI:10.1016/j.optlastec.2024.111807

Zhao Ma , Jiale Long , Yi Ding , Jianmin Zhang , Jiangtao Xi , Yingrong Li , Yuyang Peng

引用次数: 0

Abstract

Digital holographic microscopy (DHM) has been widely used in the biological and medical fields as an important tool for observing microstructures. However, the imaging quality of DHM is impacted by various random noises introduced by the light source and optical components as well as the experimental environment. In order to reduce the effect of random noise, this paper proposes an adaptive filtering and total directional variation (TDV) method based on the change of principal component analysis (PCA) transform domain to reduce the phase noise. The performance of the proposed method is tested by experiments, showing that it can effectively reduce the random noise of the phase image and retain details of the image well.

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基于自适应滤波和总方向变化的数字全息显微镜相位噪声降低技术

数字全息显微镜（DHM）作为观察微观结构的重要工具，已广泛应用于生物和医学领域。然而，光源和光学元件以及实验环境带来的各种随机噪声会影响 DHM 的成像质量。为了降低随机噪声的影响，本文提出了一种基于主成分分析（PCA）变换域变化的自适应滤波和总方向变化（TDV）方法，以降低相位噪声。实验测试了所提方法的性能，结果表明它能有效降低相位图像的随机噪声，并很好地保留了图像的细节。

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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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.