{"title":"全数字量子幽灵成像:教程","authors":"Chané Moodley, Andrew Forbes","doi":"10.1364/josab.489100","DOIUrl":null,"url":null,"abstract":"Quantum ghost imaging offers many advantages over classical imaging, including the ability to probe an object with one wavelength and record the image with another, while low photon fluxes offer the ability to probe objects with fewer photons, thereby avoiding photo-damage to light sensitive structures such as biological organisms. Progressively, ghost imaging has advanced from single-pixel scanning systems to two-dimensional (2D) digital projective masks, which offer a reduction in image reconstruction times through shorter integration times. In this tutorial, we describe the essential ingredients in an all-digital quantum ghost imaging experiment and guide the user on important considerations and choices to make, aided by practical examples of implementation. We showcase several image reconstruction algorithms using two different 2D projective mask types and discuss the utility of each. We additionally discuss a notable artifact of a specific reconstruction algorithm and projective mask combination and detail how this artifact can be used to retrieve an image signal heavily buried under artifacts. Finally, we end with a brief discussion on artificial intelligence (AI) and machine learning techniques used to reduce image reconstruction times. We believe that this tutorial will be a useful guide to those wishing to enter the field, as well as those already in the field who wish to introduce AI and machine learning to their toolbox.","PeriodicalId":17280,"journal":{"name":"Journal of The Optical Society of America B-optical Physics","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"All-digital quantum ghost imaging: tutorial\",\"authors\":\"Chané Moodley, Andrew Forbes\",\"doi\":\"10.1364/josab.489100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantum ghost imaging offers many advantages over classical imaging, including the ability to probe an object with one wavelength and record the image with another, while low photon fluxes offer the ability to probe objects with fewer photons, thereby avoiding photo-damage to light sensitive structures such as biological organisms. Progressively, ghost imaging has advanced from single-pixel scanning systems to two-dimensional (2D) digital projective masks, which offer a reduction in image reconstruction times through shorter integration times. In this tutorial, we describe the essential ingredients in an all-digital quantum ghost imaging experiment and guide the user on important considerations and choices to make, aided by practical examples of implementation. We showcase several image reconstruction algorithms using two different 2D projective mask types and discuss the utility of each. We additionally discuss a notable artifact of a specific reconstruction algorithm and projective mask combination and detail how this artifact can be used to retrieve an image signal heavily buried under artifacts. Finally, we end with a brief discussion on artificial intelligence (AI) and machine learning techniques used to reduce image reconstruction times. We believe that this tutorial will be a useful guide to those wishing to enter the field, as well as those already in the field who wish to introduce AI and machine learning to their toolbox.\",\"PeriodicalId\":17280,\"journal\":{\"name\":\"Journal of The Optical Society of America B-optical Physics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Optical Society of America B-optical Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/josab.489100\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Optical Society of America B-optical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/josab.489100","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
Quantum ghost imaging offers many advantages over classical imaging, including the ability to probe an object with one wavelength and record the image with another, while low photon fluxes offer the ability to probe objects with fewer photons, thereby avoiding photo-damage to light sensitive structures such as biological organisms. Progressively, ghost imaging has advanced from single-pixel scanning systems to two-dimensional (2D) digital projective masks, which offer a reduction in image reconstruction times through shorter integration times. In this tutorial, we describe the essential ingredients in an all-digital quantum ghost imaging experiment and guide the user on important considerations and choices to make, aided by practical examples of implementation. We showcase several image reconstruction algorithms using two different 2D projective mask types and discuss the utility of each. We additionally discuss a notable artifact of a specific reconstruction algorithm and projective mask combination and detail how this artifact can be used to retrieve an image signal heavily buried under artifacts. Finally, we end with a brief discussion on artificial intelligence (AI) and machine learning techniques used to reduce image reconstruction times. We believe that this tutorial will be a useful guide to those wishing to enter the field, as well as those already in the field who wish to introduce AI and machine learning to their toolbox.
期刊介绍:
The Journal of the Optical Society of America B (JOSA B) is a general optics research journal that complements JOSA A. It emphasizes scientific research on the fundamentals of the interaction of light with matter such as quantum optics, nonlinear optics, and laser physics. Topics include:
Advanced Instrumentation and Measurements
Fiber Optics and Fiber Lasers
Lasers and Other Light Sources from THz to XUV
Light-Induced Phenomena
Nonlinear and High Field Optics
Optical Materials
Optics Modes and Structured Light
Optomechanics
Metamaterials
Nanomaterials
Photonics and Semiconductor Optics
Physical Optics
Plasmonics
Quantum Optics and Entanglement
Quantum Key Distribution
Spectroscopy and Atomic or Molecular Optics
Superresolution and Advanced Imaging
Surface Optics
Ultrafast Optical Phenomena
Wave Guiding and Optical Confinement
JOSA B considers original research articles, feature issue contributions, invited reviews and tutorials, and comments on published articles.