Low Sampling Ratio Ghost Imaging with Rearranged Hadamard Basis

Q: What type of study is this?

This is a Quantitative Study study.

Annan Xia; L. Liu; Yaqi Han; Qingyang Zhu; Hao Yi; Qian Li; H. Y. Fu

doi:10.1364/cleo_at.2025.jps200_22

January 1, 2025

Low Sampling Ratio Ghost Imaging with Rearranged Hadamard Basis

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Key Points

Main structural information retained even with a sampling ratio below 15%, enhancing imaging quality.
The new Hadamard basis ordering consistently outperforms conventional imaging methods under various sampling conditions.
Validation through both numerical and experimental methods ensures reliability and applicability of findings.
This approach supports advancements in optical imaging techniques and potential applications in various fields.

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Implication

Novel Hadamard basis ordering improves structural information retention in ghost imaging, suggesting better performance even at low sampling ratios.

Abstract

We propose a novel Hadamard basis ordering using wavelet transform, verified to outperform conventional methods across all sampling ratios numerically and experimentally. Main structural information can be retained even at sampling ratio below 15%.

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Cite This Study

Xia et al. (2025) studied this question.

synapsesocial.com/papers/68d463f131b076d99fa63925 https://doi.org/10.1364/cleo_at.2025.jps200_22

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Low Sampling Ratio Ghost Imaging with Rearranged Hadamard Basis

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Low Sampling Ratio Ghost Imaging with Rearranged Hadamard Basis

Key Points

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Abstract

Discussion

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