Deep optical coding design in computational imaging: a data-driven framework
Computational optical imaging (COI) systems leverage optical coding elements (CEs) in
their setups to encode a high-dimensional scene in a single or in multiple snapshots and …
their setups to encode a high-dimensional scene in a single or in multiple snapshots and …
Shift-variant color-coded diffractive spectral imaging system
State-of-the-art snapshot spectral imaging (SI) systems introduce color-coded apertures
(CCAs) into their setups to obtain a flexible spatial-spectral modulation, allowing spectral …
(CCAs) into their setups to obtain a flexible spatial-spectral modulation, allowing spectral …
Deep learning for compressive sensing: a ubiquitous systems perspective
AL Machidon, V Pejović - Artificial Intelligence Review, 2023 - Springer
Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor
sampling rate, potentially bringing context-awareness to a wider range of devices …
sampling rate, potentially bringing context-awareness to a wider range of devices …
Deep coded aperture design: An end-to-end approach for computational imaging tasks
J Bacca, T Gelvez-Barrera… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Covering from photography to depth and spectral estimation, diverse computational imaging
(CI) applications benefit from the versatile modulation of coded apertures (CAs). The …
(CI) applications benefit from the versatile modulation of coded apertures (CAs). The …
Compressive spectral image reconstruction using deep prior and low-rank tensor representation
J Bacca, Y Fonseca, H Arguello - Applied optics, 2021 - opg.optica.org
Compressive spectral imaging (CSI) has emerged as an alternative spectral image
acquisition technology, which reduces the number of measurements at the cost of requiring …
acquisition technology, which reduces the number of measurements at the cost of requiring …
Metalens-Based Compressed Ultracompact Femtophotography: Analytical Modeling and Simulations
Single-shot 2-dimensional optical imaging of transient phenomena is indispensable for
numerous areas of study. Among existing techniques, compressed ultrafast photography …
numerous areas of study. Among existing techniques, compressed ultrafast photography …
DUF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion
Compressive spectral imaging (CSI) has attracted significant attention since it employs
synthetic apertures to codify spatial and spectral information, sensing only 2D projections of …
synthetic apertures to codify spatial and spectral information, sensing only 2D projections of …
Middle output regularized end-to-end optimization for computational imaging
Optical coding is an essential technique in computational imaging (CI) that allows high-
dimensional signal sensing through post-processed coded projections to decode the …
dimensional signal sensing through post-processed coded projections to decode the …
Deep-learning supervised snapshot compressive imaging enabled by an end-to-end adaptive neural network
Snapshot compressive imaging (SCI) is an advanced approach for single-shot high-
dimensional data visualization. Deep learning is popularly used to improve SCI's …
dimensional data visualization. Deep learning is popularly used to improve SCI's …
Optical fiber distributed vibration sensing using grayscale image and multi-class deep learning framework for multi-event recognition
Multi-class sensing recognition is important in optical fiber distributed vibration systems,
since accurate detections on the vibrations can significantly improve the performance of the …
since accurate detections on the vibrations can significantly improve the performance of the …