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 (≥ …

Multidimensional optical imaging has seen remarkable growth in the past decade. Rather
than measuring only the two-dimensional spatial distribution of light, as in conventional …

Snapshot compressive imaging (SCI) refers to compressive imaging systems where multiple
frames are mapped into a single measurement, with video compressive imaging and …

Snapshot compressive imaging (SCI) aims to capture the high-dimensional (usually 3D)
images using a 2D sensor (detector) in a single snapshot. Though enjoying the advantages …

Snapshot compressive imaging (SCI) systems aim to capture high-dimensional (≥ 3 D)
images in a single shot using 2D detectors. SCI devices consist of two main parts: a …

We propose the l-net, which reconstructs hyperspectral images (eg, with 24 spectral
channels) from a single shot measurement. This task is usually termed snapshot …

Conventional high-speed and spectral imaging systems are expensive and they usually
consume a significant amount of memory and bandwidth to save and transmit the high …

Coded aperture compressive temporal imaging clickable element to expand a topic LOGIN OR
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We investigate deep learning for video compressive sensing within the scope of snapshot
compressive imaging (SCI). In video SCI, multiple high-speed frames are modulated by …

Snapshot compressive imaging (SCI) systems have been developed to capture high-
dimensional (> 3) signals using low-dimensional off-the-shelf sensors, ie, map** multiple …