We exploit memory effect correlations in speckles for the imaging of incoherent fluorescent sources behind scattering tissue. These correlations are often weak when imaging thick scattering tissues and complex illumination patterns, both of which greatly limit the practicality of associated techniques. In this work, we introduce a spatial light modulator between the tissue sample and the imaging sensor and capture multiple modulations of the speckle pattern. We show that, by correctly designing the modulation patterns and the associated reconstruction algorithm, the statistical correlations in the measurements can be greatly enhanced. We exploit this to demonstrate the reconstruction of mega-pixel sized fluorescent patterns behind the scattering tissue.
Holographic near-eye displays are a promising technology to provide realistic and visually comfortable imagery with improved user experience, but their coherent light sources limit the image quality and restrict the types of patterns that can be generated. A partially-coherent mode, supported by emerging fast spatial light modulators (SLMs), has potential to overcome these limitations. However, these SLMs often have a limited phase control precision, which current computer-generated holography (CGH) techniques are not equipped to handle. In this work, we present a flexible CGH framework for fast, highly-quantized SLMs. This framework is capable of incorporating a wide range of content, including 2D and 2.5D RGBD images, 3D focal stacks, and 4D light fields, and we demonstrate its effectiveness through state-of-the-art simulation and experimental results.
Single-photon detectors time-stamp incident photon events with picosecond accuracy. When combined with pulsed light sources, these emerging detectors record transient measurements of a scene containing the time of flight information of the direct light reflecting off of visible objects, and also the indirectly scattered light from objects outside the line of sight. The latter information has recently been demonstrated to enable non-line-of-sight (NLOS) imaging, where advanced inverse methods process time-resolved indirect light transport of a scene to estimate the 3D shape of objects hidden around corners. In this article, we review computationally efficient NLOS approaches that build on confocally scanned data, where the light pulses used to probe a scene are optically aligned with the detection path. This specific scanning procedure has given rise to computationally efficient inverse methods that enable real-time NLOS image reconstruction.
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