Snapshot compressive imaging: Theory, algorithms, and applications
Capturing high-dimensional (HD) data is a long-term challenge in signal processing and
related fields. Snapshot compressive imaging (SCI) uses a 2D detector to capture HD (≥ …
related fields. Snapshot compressive imaging (SCI) uses a 2D detector to capture HD (≥ …
Deep fully-connected networks for video compressive sensing
In this work we present a deep learning framework for video compressive sensing. The
proposed formulation enables recovery of video frames in a few seconds at significantly …
proposed formulation enables recovery of video frames in a few seconds at significantly …
Joint filtering of intensity images and neuromorphic events for high-resolution noise-robust imaging
We present a novel computational imaging system with high resolution and low noise. Our
system consists of a traditional video camera which captures high-resolution intensity …
system consists of a traditional video camera which captures high-resolution intensity …
Snapshot spatial–temporal compressive imaging
We build a compressive imaging system that can reconstruct high-speed videos of two fields-
of-view by capturing a single frame. A single digital micromirror device is employed to …
of-view by capturing a single frame. A single digital micromirror device is employed to …
Guided event filtering: Synergy between intensity images and neuromorphic events for high performance imaging
Many visual and robotics tasks in real-world scenarios rely on robust handling of high speed
motion and high dynamic range (HDR) with effectively high spatial resolution and low noise …
motion and high dynamic range (HDR) with effectively high spatial resolution and low noise …
Two-step training deep learning framework for computational imaging without physics priors
Deep learning (DL) is a powerful tool in computational imaging for many applications. A
common strategy is to use a preprocessor to reconstruct a preliminary image as the input to …
common strategy is to use a preprocessor to reconstruct a preliminary image as the input to …
Compressive high-speed stereo imaging
A compressive high-speed stereo imaging system is reported. The system is capable of
reconstructing 3D videos at a frame rate 10 times higher than the sampling rate of the …
reconstructing 3D videos at a frame rate 10 times higher than the sampling rate of the …
Motion-resolved, reference-free holographic imaging via spatiotemporally regularized inversion
Holography is a powerful technique that records the amplitude and phase of an optical field
simultaneously, enabling a variety of applications such as label-free biomedical analysis …
simultaneously, enabling a variety of applications such as label-free biomedical analysis …
SpinCam: High-Speed Imaging via a Rotating Point-Spread Function
High-speed cameras are an indispensable tool used for the slow-motion analysis of scenes.
The fixed bandwidth of any imaging system quickly becomes a bottleneck however, resulting …
The fixed bandwidth of any imaging system quickly becomes a bottleneck however, resulting …
Event-driven video frame synthesis
Abstract Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at
timestamps different from existing frames, which has wide applications in video codec …
timestamps different from existing frames, which has wide applications in video codec …