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 (≥ …
Management and orchestration of edge computing for IoT: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …
Deep gaussian scale mixture prior for spectral compressive imaging
In coded aperture snapshot spectral imaging (CASSI) system, the real-world hyperspectral
image (HSI) can be reconstructed from the captured compressive image in a snapshot …
image (HSI) can be reconstructed from the captured compressive image in a snapshot …
Deep unfolding for snapshot compressive imaging
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 …
images in a single shot using 2D detectors. SCI devices consist of two main parts: a …
Spatial-temporal transformer for video snapshot compressive imaging
Video snapshot compressive imaging (SCI) captures multiple sequential video frames by a
single measurement using the idea of computational imaging. The underlying principle is to …
single measurement using the idea of computational imaging. The underlying principle is to …
Memory-efficient network for large-scale video compressive sensing
Video snapshot compressive imaging (SCI) captures a sequence of video frames in a single
shot using a 2D detector. The underlying principle is that during one exposure time, different …
shot using a 2D detector. The underlying principle is that during one exposure time, different …
Metasci: Scalable and adaptive reconstruction for video compressive sensing
To capture high-speed videos using a two-dimensional detector, video snapshot
compressive imaging (SCI) is a promising system, where the video frames are coded by …
compressive imaging (SCI) is a promising system, where the video frames are coded by …
Vehicle as a mobile computing platform: Opportunities and challenges
Over the past century, vehicles have predominantly functioned as a means of transportation.
However, as vehicular computation and communication capacities continue to expand, it is …
However, as vehicular computation and communication capacities continue to expand, it is …
From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth
High-throughput imaging is highly desirable in intelligent analysis of computer vision tasks.
In conventional design, throughput is limited by the separation between physical image …
In conventional design, throughput is limited by the separation between physical image …
Adaptive deep pnp algorithm for video snapshot compressive imaging
Video Snapshot compressive imaging (SCI) is a promising technique to capture high-speed
videos, which transforms the imaging speed from the detector to mask modulating and only …
videos, which transforms the imaging speed from the detector to mask modulating and only …