{"title":"High Speed Single Pixel Imaging Measurement Value Classification Through Multi-Layer Perceptron","authors":"Ziyang Chen;Ping Lu;Weiqiang Ding;Hongyan Shi","doi":"10.1109/LPT.2025.3549832","DOIUrl":null,"url":null,"abstract":"The slow reconstruction process of single-pixel imaging makes it difficult to apply to dynamic scenes, and it also causes serious computational waste for the reconstruction of objectless data. To address this, we propose a method of using multi-layer perceptron to achieve high-speed screening and object detection of single pixel imaging data. This method achieves a detection rate of 2500 frames per second (fps) and an accuracy of 94.98% on the MNIST dataset. The classification accuracy of our proposed method is 87.8% at 0.77% sampling rate and in real scene tests, and it maintains good performance under 10% random noise.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 8","pages":"441-444"},"PeriodicalIF":2.3000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Technology Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10921698/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The slow reconstruction process of single-pixel imaging makes it difficult to apply to dynamic scenes, and it also causes serious computational waste for the reconstruction of objectless data. To address this, we propose a method of using multi-layer perceptron to achieve high-speed screening and object detection of single pixel imaging data. This method achieves a detection rate of 2500 frames per second (fps) and an accuracy of 94.98% on the MNIST dataset. The classification accuracy of our proposed method is 87.8% at 0.77% sampling rate and in real scene tests, and it maintains good performance under 10% random noise.
期刊介绍:
IEEE Photonics Technology Letters addresses all aspects of the IEEE Photonics Society Constitutional Field of Interest with emphasis on photonic/lightwave components and applications, laser physics and systems and laser/electro-optics technology. Examples of subject areas for the above areas of concentration are integrated optic and optoelectronic devices, high-power laser arrays (e.g. diode, CO2), free electron lasers, solid, state lasers, laser materials'' interactions and femtosecond laser techniques. The letters journal publishes engineering, applied physics and physics oriented papers. Emphasis is on rapid publication of timely manuscripts. A goal is to provide a focal point of quality engineering-oriented papers in the electro-optics field not found in other rapid-publication journals.