Photon limited non-blind deblurring using algorithm unrolling

Y Sanghvi, A Gnanasambandam… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Image deblurring in photon-limited conditions is ubiquitous in a variety of low-light
applications such as photography, microscopy and astronomy. However, the presence of the …

Coherent plug-and-play artifact removal: Physics-based deep learning for imaging through aberrations

CJ Pellizzari, TJ Bate, KP Donnelly, GT Buzzard… - Optics and Lasers in …, 2023 - Elsevier
Current image-correction frameworks for sensors that employ optically coherent detection
attempt to estimate phase errors in the data, like those caused by aberrations, and …

Coherent plug-and-play: digital holographic imaging through atmospheric turbulence using model-based iterative reconstruction and convolutional neural networks

CJ Pellizzari, MF Spencer… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In order to image a distant object through atmospheric turbulence, it is necessary to correct
for the phase errors that would otherwise cause rapidly varying spatial blur in a …

[HTML][HTML] Infrared image super-resolution reconstruction based on quaternion and high-order overlap** group sparse total variation

X Liu, Y Chen, Z Peng, J Wu - Sensors, 2019 - mdpi.com
Owing to the limitations of imaging principles and system imaging characteristics, infrared
images generally have some shortcomings, such as low resolution, insufficient details, and …

Computer vision at low light

A Gnanasambandam - 2022 - search.proquest.com
Imaging in low light is difficult because the number of photons arriving at the image sensor is
low. This is a major technological challenge for applications such as surveillance and …

Kernel Estimation Approaches to Blind Deconvolution

Y Sanghvi - 2024 - search.proquest.com
The past two decades have seen photography shift from the hands of professionals to that of
the average smartphone user. However, fitting a camera module in the palm of your hand …

An Adaptive Fluorescence Image Restoration Method Using Sparsity and Continuity Prior

X Jiang, T He, Y Yang - 2024 3rd International Conference on …, 2024 - ieeexplore.ieee.org
To promote the restoration quality of fluorescence image, we exploit Hessian penalty
consists of second-order derivatives as regularizer to maintain the structural continuity …