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

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

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 des...

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Bibliographic Details
Main Authors: Jun Feng, Shuming Jiao, Yang Gao, Ting Lei, Luping Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Photonics Journal
Subjects:
Single-Pixel imaging
principal component analysis
ghost imaging
illumination pattern
dictionary
optimization
Online Access:https://ieeexplore.ieee.org/document/9117015/
Description
Summary: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.
ISSN:1943-0655

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