Single-shot sub-Rayleigh imaging with pixel-limited detection

Abstract

For conventional imaging, the imaging resolution limit is given by the Rayleigh criterion. Exploiting the prior knowledge of imaging object's sparsity and fixed optical system, imaging beyond the conventional Rayleigh limit, which is backed up by numerical simulation and experiments, is achieved by illuminating the object with single-shot thermal light and detecting the object's information at the imaging plane with some sparse-array single-pixel detectors. The quality of sub-Rayleigh imaging with sparse detection is also shown to be related to the effective number of single-pixel detectors and the detection signal-to-noise ratio at the imaging plane.

Multiple-input ghost imaging via sparsity constraints with thermal light

“…4, the reconstruction results show that increasing the effective m s can indeed reduce the DMD's modulation number, which also means that the object's image can be reconstructed from a single measurement when the DMD is used as a uniform reflecting mirror and enough sparse-array single-pixel detectors are employed. 23) However, for the MI-GISC system shown in Fig. 1(b), because the speckle pattern modulated by the DMD is random and sparse in the real-space basis, statistically averaging enough DMD modulations can yield a uniform illumination.…”