High-fidelity correspondence imaging in complex media with varying thresholds and 1-bit compressive sensing
Zhihan Xu,
Qian Song,
Wen Chen
Abstract:Here, we report high-fidelity correspondence imaging (CI) in complex media. By introducing varying thresholds to binarize single-pixel light intensities recorded in complex media, dynamic scaling factors can be eliminated. Then, the binarized light intensities and illumination patterns can be fed into a modified 1-bit compressive sensing algorithm to realize high-fidelity object reconstruction. The proposed method can implement object reconstruction with high fidelity in complex media without extra temporal ca… Show more
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