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Weighted Multi-Interval spatial-temporal binary encoding fourier single-pixel imaging
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DOI：10.1016/j.optlaseng.2025.109597.png)
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Abstract
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• Innovatively integrating spatial-temporal binary coding with Fourier single-pixel imaging enhances pattern intensity utilization, overcomes bottlenecks, and ensures high-quality reconstruction without spatial resolution loss. • Introducing “bit-wise encoding,” it assigns weights to binary patterns, enabling 2K intensity levels. This approach significantly boosts information utilization. • With the same number of projections, it allows for richer grayscale expression, better approximating the original waveform, thus ensuring more accurate Fourier sampling. • To mitigate noise, multiple independent reconstructions were averaged, with the mean used as the metric, validating the method’s robustness and stability.
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