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Authors: Wei Lun Tey 1 ; Mau-Luen Tham 1 ; Yeong-Nan Phua 1 and Sing Yee Chua 1 ; 2

Affiliations: 1 Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Selangor, Malaysia ; 2 Centre for Photonics and Advanced Materials Research (CPAMR), Universiti Tunku Abdul Rahman, Bandar Sungai Long, Selangor, Malaysia

Keyword(s): Single-Pixel Imaging, Fourier Imaging, Compressed Sensing, Variable Density Sampling.

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 conventio nal low frequency sampling and variable density sampling methods. (More)

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Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 212-219. DOI: 10.5220/0011658300003417

@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},
issn={2184-4321},
}

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
IS - 2184-4321
AU - Tey, W.
AU - Tham, M.
AU - Phua, Y.
AU - Chua, S.
PY - 2023
SP - 212
EP - 219
DO - 10.5220/0011658300003417
PB - SciTePress

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