{"title":"Digital holographic sound field imaging beyond Nyquist frequency","authors":"Nao Sakiyama , Naru Yoneda , Yasuhiro Awatsuji , Osamu Matoba","doi":"10.1016/j.optlaseng.2025.109288","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents digital holographic sound field imaging method for sound fields containing frequencies above the Nyquist frequency. Digital holography is a non-invasive interference-based imaging technique that enables high-spatial-resolution visualization of sound fields using image sensors. However, according to Nyquist-Shannon sampling theorem, accurate frequency acquisition requires a frame rate at least twice the maximum frequency of the sound fields. This constraint limits the field of view due to readout bandwidth limitation of image sensors. To address this, we propose a technique that reconstructs high-frame-rate sound fields from lower-frame-rate recordings through computational reconstruction using the wavelength information of the sound-field images. Experimental results show that the proposed method achieves a twenty-fold improvement in temporal resolution and an eight-fold increase in the field of view compared to the conventional digital holographic method. This achieves sound field imaging even with low-frame-rate image sensors.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"195 ","pages":"Article 109288"},"PeriodicalIF":3.7000,"publicationDate":"2025-08-26","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/S0143816625004737","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
This paper presents digital holographic sound field imaging method for sound fields containing frequencies above the Nyquist frequency. Digital holography is a non-invasive interference-based imaging technique that enables high-spatial-resolution visualization of sound fields using image sensors. However, according to Nyquist-Shannon sampling theorem, accurate frequency acquisition requires a frame rate at least twice the maximum frequency of the sound fields. This constraint limits the field of view due to readout bandwidth limitation of image sensors. To address this, we propose a technique that reconstructs high-frame-rate sound fields from lower-frame-rate recordings through computational reconstruction using the wavelength information of the sound-field images. Experimental results show that the proposed method achieves a twenty-fold improvement in temporal resolution and an eight-fold increase in the field of view compared to the conventional digital holographic method. This achieves sound field imaging even with low-frame-rate image sensors.
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