Speckle noise reduction for digital holographic images using Swin Transformer

IF 3.5 2区工程技术 Q2 OPTICS

Optics and Lasers in Engineering Pub Date : 2024-09-21 DOI:10.1016/j.optlaseng.2024.108605

ZhaoQian Xie , Li Chen , HongHui Chen , KunHua Wen , JunWei Guo

引用次数: 0

Abstract

We introduce an innovative approach for reducing speckle noise in holographic reconstruction images utilizing the Transformer architecture. This approach not only effectively captures speckle noise from digital holographic images but also better preserves details in images, owing to the characteristics of the Swin Transformer in globally and locally capturing relationships between image features. The network is trained using a large dataset with a distribution similar to real speckle noise. Experimental results demonstrate outstanding denoising performance of the proposed method and effectively preserving the details.

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利用斯温变换器降低数字全息图像的斑点噪声

我们介绍了一种利用变换器架构减少全息重建图像中斑点噪声的创新方法。这种方法不仅能有效捕捉数字全息图像中的斑点噪声，还能更好地保留图像细节，这得益于斯温变换器在全局和局部捕捉图像特征之间关系的特性。该网络使用一个分布与真实斑点噪声类似的大型数据集进行训练。实验结果表明，所提出的方法去噪效果显著，能有效保留图像细节。

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

Optics and Lasers in Engineering 工程技术-光学

CiteScore

8.90

自引率

8.70%

发文量

384

审稿时长

42 days

期刊介绍： Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques