{"title":"基于TD-SCDMA光编码和多路复用的区域单像素成像","authors":"Ying Li, Yu Kou, Yue Li, Jialin Zhang, Dan Zhao, Sheng Yuan, Zhijian Zhang, Xin Zhou","doi":"10.1063/5.0257845","DOIUrl":null,"url":null,"abstract":"Different from traditional imaging methods that rely on plane array detectors, single-pixel imaging (SPI) utilizes a single detector without spatial resolution to acquire images. However, achieving high-resolution reconstruction with SPI typically requires a large number of measurements, which limits the development of SPI. To achieve a balance between high resolution and frame rate, an SPI method based on optical encoding and multiplexing is proposed and demonstrated. In this method, the beam modulated by illumination patterns is subjected to orthogonal space-time encoding to achieve the redistribution of sampling density across different sub-regions of the target. After optical multiplexing, the combined light intensity is collected by a single-pixel detector and decoded to reconstruct each sub-region. Consequently, sub-regions assigned higher sampling densities exhibit improved detail resolution, more closely matching human visual perception compared to those with lower sampling. This work overcomes the limitation of traditional SPI approaches that impose uniform resolution across the entire field of view. With the introduction of space-time encoding, sampling density can be flexibly allocated among various regions. This enables the reconstruction of large-scale scenes at a low overall sampling rate while still achieving higher resolution in selected regions of interest. Moreover, the proposed method can be integrated with various reconstruction algorithms to further reduce computational costs and acquisition time.","PeriodicalId":8094,"journal":{"name":"Applied Physics Letters","volume":"21 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optical encoding and multiplexing based regional single-pixel imaging via TD-SCDMA\",\"authors\":\"Ying Li, Yu Kou, Yue Li, Jialin Zhang, Dan Zhao, Sheng Yuan, Zhijian Zhang, Xin Zhou\",\"doi\":\"10.1063/5.0257845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Different from traditional imaging methods that rely on plane array detectors, single-pixel imaging (SPI) utilizes a single detector without spatial resolution to acquire images. However, achieving high-resolution reconstruction with SPI typically requires a large number of measurements, which limits the development of SPI. To achieve a balance between high resolution and frame rate, an SPI method based on optical encoding and multiplexing is proposed and demonstrated. In this method, the beam modulated by illumination patterns is subjected to orthogonal space-time encoding to achieve the redistribution of sampling density across different sub-regions of the target. After optical multiplexing, the combined light intensity is collected by a single-pixel detector and decoded to reconstruct each sub-region. Consequently, sub-regions assigned higher sampling densities exhibit improved detail resolution, more closely matching human visual perception compared to those with lower sampling. This work overcomes the limitation of traditional SPI approaches that impose uniform resolution across the entire field of view. With the introduction of space-time encoding, sampling density can be flexibly allocated among various regions. This enables the reconstruction of large-scale scenes at a low overall sampling rate while still achieving higher resolution in selected regions of interest. Moreover, the proposed method can be integrated with various reconstruction algorithms to further reduce computational costs and acquisition time.\",\"PeriodicalId\":8094,\"journal\":{\"name\":\"Applied Physics Letters\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Physics Letters\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1063/5.0257845\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Physics Letters","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1063/5.0257845","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
Optical encoding and multiplexing based regional single-pixel imaging via TD-SCDMA
Different from traditional imaging methods that rely on plane array detectors, single-pixel imaging (SPI) utilizes a single detector without spatial resolution to acquire images. However, achieving high-resolution reconstruction with SPI typically requires a large number of measurements, which limits the development of SPI. To achieve a balance between high resolution and frame rate, an SPI method based on optical encoding and multiplexing is proposed and demonstrated. In this method, the beam modulated by illumination patterns is subjected to orthogonal space-time encoding to achieve the redistribution of sampling density across different sub-regions of the target. After optical multiplexing, the combined light intensity is collected by a single-pixel detector and decoded to reconstruct each sub-region. Consequently, sub-regions assigned higher sampling densities exhibit improved detail resolution, more closely matching human visual perception compared to those with lower sampling. This work overcomes the limitation of traditional SPI approaches that impose uniform resolution across the entire field of view. With the introduction of space-time encoding, sampling density can be flexibly allocated among various regions. This enables the reconstruction of large-scale scenes at a low overall sampling rate while still achieving higher resolution in selected regions of interest. Moreover, the proposed method can be integrated with various reconstruction algorithms to further reduce computational costs and acquisition time.
期刊介绍:
Applied Physics Letters (APL) features concise, up-to-date reports on significant new findings in applied physics. Emphasizing rapid dissemination of key data and new physical insights, APL offers prompt publication of new experimental and theoretical papers reporting applications of physics phenomena to all branches of science, engineering, and modern technology.
In addition to regular articles, the journal also publishes invited Fast Track, Perspectives, and in-depth Editorials which report on cutting-edge areas in applied physics.
APL Perspectives are forward-looking invited letters which highlight recent developments or discoveries. Emphasis is placed on very recent developments, potentially disruptive technologies, open questions and possible solutions. They also include a mini-roadmap detailing where the community should direct efforts in order for the phenomena to be viable for application and the challenges associated with meeting that performance threshold. Perspectives are characterized by personal viewpoints and opinions of recognized experts in the field.
Fast Track articles are invited original research articles that report results that are particularly novel and important or provide a significant advancement in an emerging field. Because of the urgency and scientific importance of the work, the peer review process is accelerated. If, during the review process, it becomes apparent that the paper does not meet the Fast Track criterion, it is returned to a normal track.