Improving Imaging Quality of Real-time Fourier Single-pixel Imaging via Deep Learning
Fourier single pixel imaging (FSPI) is well known for reconstructing high quality images but only at the cost of long imaging time. For real-time applications, FSPI relies on under-sampled reconstructions, failing to provide high quality images. In order to improve imaging quality of real-time FSPI,...
Main Authors: | Saad Rizvi, Jie Cao, Kaiyu Zhang, Qun Hao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/19/4190 |
Similar Items
-
Complementary Fourier Single-Pixel Imaging
by: Dong Zhou, et al.
Published: (2021-09-01) -
SNR study on Fourier single-pixel imaging
by: Rui Li, et al.
Published: (2021-01-01) -
Fourier Single-Pixel Imaging Based on Online Modulation Pattern Binarization
by: Xinding Jiang, et al.
Published: (2023-08-01) -
Sinusoidal Single-Pixel Imaging Based on Fourier Positive–Negative Intensity Correlation
by: Ling-Tong Meng, et al.
Published: (2020-03-01) -
Re-Ordering of Hadamard Matrix Using Fourier Transform and Gray-Level Co-Occurrence Matrix for Compressive Single-Pixel Imaging in Low Resolution Images
by: Pedro G. Vaz, et al.
Published: (2022-01-01)