Video processing using deep learning techniques: A systematic literature review

V Sharma, M Gupta, A Kumar, D Mishra - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

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 …

Single-pixel imaging using a recurrent neural network combined with convolutional layers

I Hoshi, T Shimobaba, T Kakue, T Ito - Optics Express, 2020 - opg.optica.org
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 …

[HTML][HTML] A decade review of video compressive sensing: A roadmap to practical applications

Z Zhang, S Zheng, M Qiu, G Situ, DJ Brady, Q Dai… - Engineering, 2024 - Elsevier
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 …

[PDF][PDF] Convolutional Neural Networks Based Video Reconstruction and Computation in Digital Twins.

M Kavitha, BS Babu, B Sumathy, T Jackulin… - … Automation & Soft …, 2022 - academia.edu
With the advancement of communication and computing technologies, multimedia
technologies involving video and image applications have become an important part of the …

Computational hyperspectral light-sheet microscopy

S Crombez, P Leclerc, C Ray, N Ducros - Optics Express, 2022 - opg.optica.org
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 …

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 …

Deep neural networks for single-pixel compressive video reconstruction

AL Mur, B Montcel, F Peyrin… - … Optical Imaging II, 2020 - spiedigitallibrary.org
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 …

Hybrid single-pixel camera for dynamic hyperspectral imaging

T Maitre, E Bretin, L Mahieu-Williame… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
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 …

Deep-learning-assisted single-pixel imaging for gesture recognition in consideration of privacy

N Mukojima, M Yasugi, Y Mizutani, T Yasui… - IEICE Transactions …, 2022 - search.ieice.org
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 …