Single-Pixel Imaging Reconstruction Network with Hybrid Attention and Enhanced U-Net
Single-pixel imaging has the characteristics of a simple structure and low cost, which means it has potential applications in many fields. This paper proposes an image reconstruction method for single-pixel imaging (SPI) based on deep learning. This method takes the Generative Adversarial Network (G...
Saved in:
Main Authors: | Bingrui Xiao, Huibin Wang, Yang Bu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Photonics |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-6732/12/6/607 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Self-Attention Transformer U-Net for Fourier Single-Pixel Imaging Reconstruction at Low Sampling Rates
by: Haozhen Chen, et al.
Published: (2025-06-01) -
A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging
by: Jian Lin, et al.
Published: (2024-01-01) -
Single-Pixel Imaging for Partially Occluded Objects
by: Jingjing Wu, et al.
Published: (2023-01-01) -
Fourier Spectrum Retrieval in Single-Pixel Imaging
by: Yin Xiao, et al.
Published: (2019-01-01) -
Single-Pixel Imaging Based on Optical Fibers
by: Yunfei Tian, et al.
Published: (2020-01-01)