Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation

Wei Lun Tey, Mau-Luen Tham, Yeong-Nan Phua, Sing Yee Chua, Sing Yee Chua

2023

Abstract

Fourier single-pixel imaging (FSI) is able to reconstruct images by sampling the information in the Fourier domain. The conventional sampling method of FSI acquires the low frequency Fourier coefficients to obtain the image outlines but misses out on the image details in high frequency bands. The variable density sampling method improves the image quality but follows a predefined mechanism where the power of image information decreases when frequency increases. In this paper, an adaptive approach is proposed to sample the Fourier coefficients based on probability estimation. While the low frequency Fourier coefficients are fully sampled to secure the image outlines, the high frequency Fourier coefficients are sparsely sampled adaptively, and the image is reconstructed through Compressed sensing (CS) algorithm. Results show that the proposed adaptive FSI sampling method improves the image quality with sampling ratio ranging from 0.05 to 0.25, as compared to the commonly used conventional low frequency sampling and variable density sampling methods.

Paper Citation

in Harvard Style

Tey W., Tham M., Phua Y. and Chua S. (2023). Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 212-219. DOI: 10.5220/0011658300003417

in Bibtex Style

@conference{visapp23,
author={Wei Lun Tey and Mau-Luen Tham and Yeong-Nan Phua and Sing Yee Chua},
title={Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={212-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011658300003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Adaptive Fourier Single-Pixel Imaging Based on Probability Estimation
SN - 978-989-758-634-7
AU - Tey W.
AU - Tham M.
AU - Phua Y.
AU - Chua S.
PY - 2023
SP - 212
EP - 219
DO - 10.5220/0011658300003417
PB - SciTePress