Fourier single-pixel imaging based on sampling prediction from intermediate frequencies
The imaging quality of Fourier single pixel imaging (FSI) is determined by the number of samples, therefore higher image quality requires more sampling times. Common low-frequency sampling methods compromise high-frequency signals to reduce the number of samples, but this will reduce the resolution...
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Veröffentlicht in: | Optics communications 2024-11, Vol.570, p.130930, Article 130930 |
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Sprache: | eng |
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Zusammenfassung: | The imaging quality of Fourier single pixel imaging (FSI) is determined by the number of samples, therefore higher image quality requires more sampling times. Common low-frequency sampling methods compromise high-frequency signals to reduce the number of samples, but this will reduce the resolution of the reconstructed image. The recent adaptive sampling methods can reconstruct high-quality images with low sampling ratio, but the calculation of sampling trajectories is a time-consuming process. To improve imaging efficiency, we propose a fast sampling method based on intermediate frequency prediction for FSI. This method utilizes the continuity and directionality of important frequency distributions in the Fourier spectrum, according to which regions of important high-frequency components can be quickly predicted by firstly identifying important frequency components on the intermediate frequency ring. The simulation and experiment results demonstrated our method is 9 times faster than existing adaptive sampling methods in predicting sampling trajectories while maintaining similar image reconstruction quality for an image of 256 × 256 pixels under 5% sampling ratio. In addition, our method can efficiently sample important spectral components of images that has different frequency distributions, which proves that this method has the potential for wide applications.
•This manuscript aims to solve the problem of inefficient sampling of the key high-frequency Fourier coefficients at low sampling ratio in Fourier single-pixel imaging. We proposed a novelty sampling method based on intermediate frequency prediction for Fourier single pixel imaging. The design of sampling trajectories only requires simple and fast linear calculations. Compared with existing adaptive sampling methods [30], our method is 9 times faster in predicting sampling trajectories for a 256 × 256 pixels size image with 5% sampling ratio, while the quality of reconstructed images is similar. The simulation and experiment results demonstrate that the proposed method has strong universality and high sampling efficiency for images with different energy distributions in the Fourier spectrum. |
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ISSN: | 0030-4018 |
DOI: | 10.1016/j.optcom.2024.130930 |