Single-Pixel Image Reconstruction and Super-Resolution using Deep Learning
thesis
posted on 2025-03-20, 06:28authored byLim Jia You
Single-pixel imaging (SPI) utilizes a single-point detector and modulated illumination patterns to capture images through measurement acquisition and reconstruction. However, existing SPI reconstruction techniques are inefficient due to their iterative nature and high-sparsity sampling patterns. This research develops a deep learning-based model and a novel SPI basis to enhance the imaging efficiency and accuracy of SPI while minimizing computational demands. Experiments show that the proposed super-resolved SPI system can achieve significantly higher imaging resolution and improved accuracy at low sampling ratios in real time and can be readily integrated into more advanced SPI technologies in the future.
History
Campus location
Malaysia
Principal supervisor
Wang Xin
Additional supervisor 1
Chiew Yeong Shiong
Additional supervisor 2
Raphaël Chan Phung Wei
Year of Award
2025
Department, School or Centre
School of Engineering (Monash University Malaysia)