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Video processing using deep learning techniques: A systematic literature review
Studies show lots of advanced research on various data types such as image, speech, and
text using deep learning techniques, but nowadays, research on video processing is also an …
text using deep learning techniques, but nowadays, research on video processing is also an …
An overview on deep learning techniques for video compressive sensing
W Saideni, D Helbert, F Courreges, JP Cances - Applied Sciences, 2022 - mdpi.com
The use of compressive sensing in several applications has allowed to capture impressive
results, especially in various applications such as image and video processing and it has …
results, especially in various applications such as image and video processing and it has …
Single-pixel imaging using a recurrent neural network combined with convolutional layers
Single-pixel imaging allows for high-speed imaging, miniaturization of optical systems, and
imaging over a broad wavelength range, which is difficult by conventional imaging sensors …
imaging over a broad wavelength range, which is difficult by conventional imaging sensors …
[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 …
[PDF][PDF] Convolutional Neural Networks Based Video Reconstruction and Computation in Digital Twins.
With the advancement of communication and computing technologies, multimedia
technologies involving video and image applications have become an important part of the …
technologies involving video and image applications have become an important part of the …
Computational hyperspectral light-sheet microscopy
We describe a computational light-sheet microscope designed for hyperspectral acquisition
at high spectral resolution. The fluorescence light emitted from the full field-of-view is …
at high spectral resolution. The fluorescence light emitted from the full field-of-view is …
Towards low-cost hyperspectral single-pixel imaging for plant phenoty**
M Ribes, G Russias, D Tregoat, A Fournier - Sensors, 2020 - mdpi.com
Hyperspectral imaging techniques have been expanding considerably in recent years. The
cost of current solutions is decreasing, but these high-end technologies are not yet available …
cost of current solutions is decreasing, but these high-end technologies are not yet available …
Deep neural networks for single-pixel compressive video reconstruction
Single-pixel imaging is a paradigm that enables the capture of an image from a single point
detector using a spatial light modulator. This approach is particularly interesting for optical …
detector using a spatial light modulator. This approach is particularly interesting for optical …
Hybrid single-pixel camera for dynamic hyperspectral imaging
Single-pixel imaging recovers an image from a sequence of point measurements that
correspond to inner products between the image of the scene and some light patterns. This …
correspond to inner products between the image of the scene and some light patterns. This …
Deep-learning-assisted single-pixel imaging for gesture recognition in consideration of privacy
We have utilized single-pixel imaging and deep-learning to solve the privacy-preserving
problem in gesture recognition for interactive display. Silhouette images of hand gestures …
problem in gesture recognition for interactive display. Silhouette images of hand gestures …