دورية أكاديمية
Design of Optimal Illumination Patterns in Single-Pixel Imaging Using Image Dictionaries
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 |
تدمد: | 19430655 |
---|---|
DOI: | 10.1109/JPHOT.2020.3002477 |