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Thesis_Stephen Lau Lee Huei_27484033.pdf (3.24 MB)

Single-Pixel Image Reconstruction Based on Compressive Sensing and Deep Learning

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thesis
posted on 2022-02-28, 00:22 authored by STEPHEN LEE HUEI LAU
This thesis seeks to improve the performance of single-pixel imaging. For data sampling, block compressive sensing (BCS) is introduced as an alternative to the conventional full-image compressive sensing. Its performance in simulation and on empirical data justified its use, besides the fact that it uses less storage and memory. Subsequently, a deep-learning model is proposed as the image reconstruction algorithm. Experiments show that the model is capable of reconstructing images obtained from an SPI setup while being priorly trained on natural images. This opens up opportunities for pretrained deep-learning models for BCS reconstruction of images from various domains.

History

Principal supervisor

Wang Xin

Year of Award

2022

Department, School or Centre

School of Engineering (Monash University Malaysia)

Course

Master of Engineering Science (Research)

Degree Type

RESEARCH_MASTERS

Faculty

Faculty of Engineering

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