دورية أكاديمية

Design of Optimal Illumination Patterns in Single-Pixel Imaging Using Image Dictionaries

التفاصيل البيبلوغرافية
العنوان: Design of Optimal Illumination Patterns in Single-Pixel Imaging Using Image Dictionaries
المؤلفون: Jun Feng, Shuming Jiao, Yang Gao, Ting Lei, Luping Du
المصدر: IEEE Photonics Journal, Vol 12, Iss 4, Pp 1-9 (2020)
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
المجموعة: LCC:Applied optics. Photonics
LCC:Optics. Light
مصطلحات موضوعية: Single-Pixel imaging, principal component analysis, ghost imaging, illumination pattern, dictionary, optimization, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467
الوصف: A single-pixel imaging (SPI) system is often applied to a specific scenario. The target object images may belong to a specific category and have some common features. Fourier or Hadamard illumination patterns can be sub-optimal since they are fixed and non-adaptive. We propose a novel scheme for designing and optimizing the illumination patterns adaptively from an image dictionary by extracting the common features using principal component analysis (PCA), with enhanced imaging efficiency.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1943-0655
Relation: https://ieeexplore.ieee.org/document/9117015/; https://doaj.org/toc/1943-0655
DOI: 10.1109/JPHOT.2020.3002477
URL الوصول: https://doaj.org/article/346d751154e74cbb9ae3a5aa192d66ac
رقم الأكسشن: edsdoj.346d751154e74cbb9ae3a5aa192d66ac
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19430655
DOI:10.1109/JPHOT.2020.3002477