{"title":"Speckle noise reduction for digital holographic images using Swin Transformer","authors":"ZhaoQian Xie , Li Chen , HongHui Chen , KunHua Wen , JunWei Guo","doi":"10.1016/j.optlaseng.2024.108605","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"184 ","pages":"Article 108605"},"PeriodicalIF":3.5000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816624005839","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
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.
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
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