Single-pixel dynamic imaging based on Zernike moments

The present single-pixel imaging method usually employs a Hadamard matrix to realize dynamic imaging. When the sampling rate of these methods is reduced, the reconstructed images all appear to have block distortion. This paper proposes a method for single-pixel dynamic imaging using Zernike moments. Five low-order Zernike moments and an appropriate number of high-order Zernike moments are irradiated per frame to obtain positional and image information. The illumination patterns are adjusted according to the acquired data so that they can be used to reconstruct an image of the object at the reference position. It is proved through experiments that the method in this paper can eliminate the block phenomenon and reconstruct precise motion trajectory. The method provides a new optimization direction in the field of single-pixel dynamic imaging.

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Published
2024-09-13
DOI
https://doi.org/10.1117/12.3039394
Primary Topic
Optical Coherence Tomography Applications
Type
article
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article

Single-pixel dynamic imaging based on Zernike moments

Bin Liu, Qinghuan Huang
Optical Coherence Tomography Applications
article

Single-pixel dynamic imaging based on Zernike moments

Bin Liu, Qinghuan Huang
article en

Abstract

The present single-pixel imaging method usually employs a Hadamard matrix to realize dynamic imaging. When the sampling rate of these methods is reduced, the reconstructed images all appear to have block distortion. This paper proposes a method for single-pixel dynamic imaging using Zernike moments. Five low-order Zernike moments and an appropriate number of high-order Zernike moments are irradiated per frame to obtain positional and image information. The illumination patterns are adjusted according to the acquired data so that they can be used to reconstruct an image of the object at the reference position. It is proved through experiments that the method in this paper can eliminate the block phenomenon and reconstruct precise motion trajectory. The method provides a new optimization direction in the field of single-pixel dynamic imaging.

Harbin Engineering University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Optical Coherence Tomography Applications
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