Computational ghost imaging encompasses a suite of indirect imaging methods that reconstruct spatial or temporal scenes from correlations between known illumination patterns and intensity measurements ...

Computational imaging unites bespoke optical hardware with advanced reconstruction algorithms to transcend the limits of conventional cameras. Rather than forming images directly on a pixel array, ...

The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...

Computational microscopy is vital in biomedicine and materials science. Traditional methods struggle with optical aberrations, noise interference, and differences between physical models and ...