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Computational imaging and artificial intelligence: The next revolution of mobile vision
Signal capture is at the forefront of perceiving and understanding the environment; thus,
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …
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 …
[HTML][HTML] A decade review of video compressive sensing: A roadmap to practical applications
It has been over a decade since the first coded aperture video compressive sensing (CS)
system was reported. The underlying principle of this technology is to employ a high …
system was reported. The underlying principle of this technology is to employ a high …
Snapshot spectral compressive imaging reconstruction using convolution and contextual transformer
Spectral compressive imaging (SCI) is able to encode a high-dimensional hyperspectral
image into a two-dimensional snapshot measurement, and then use algorithms to …
image into a two-dimensional snapshot measurement, and then use algorithms to …
Space‐Time Projection Enabled Ultrafast All‐Optical Diffractive Neural Network
All‐optical neural networks have advantages in higher throughput, higher speed as well as
lower energy consumption compared to electrical neural networks. Optical neural networks …
lower energy consumption compared to electrical neural networks. Optical neural networks …
Deep optics for video snapshot compressive imaging
Video snapshot compressive imaging (SCI) aims to capture a sequence of video frames with
only a single shot of a 2D detector, whose backbones rest in optical modulation patterns …
only a single shot of a 2D detector, whose backbones rest in optical modulation patterns …
Ensemble learning priors driven deep unfolding for scalable video snapshot compressive imaging
Snapshot compressive imaging (SCI) can record a 3D datacube by a 2D measurement and
algorithmically reconstruct the desired 3D information from that 2D measurement. The …
algorithmically reconstruct the desired 3D information from that 2D measurement. The …
Revealing the preference for correcting separated aberrations in joint optic-image design
The joint design of the optical system and the downstream algorithm is a challenging and
promising task. Due to the demand for balancing the global optima of imaging systems and …
promising task. Due to the demand for balancing the global optima of imaging systems and …
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 …
Incoherent diffractive optical elements for extendable field-of-view imaging
We present a diffractive optics design for incoherent imaging with an extendable field-of-
view. In our design method, multiple layers of diffractive optical elements (DOEs) are …
view. In our design method, multiple layers of diffractive optical elements (DOEs) are …