48 citations · 181 across the 12 of their papers we have counts for
4 papers · 1 filter
Estimation of non-uniform motion blur using a patch-based regression convolutional neural network (CNN)
Luis G. Varela, Laura E. Boucheron, Steven Sandoval +2
The non-uniform blur of atmospheric turbulence can be modeled as a superposition of linear motion blur kernels at a patch level. We propose a regression convolutional neural networ…
Neural-based Compression Scheme for Solar Image Data
Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda +6
Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them eff…
Estimation of motion blur kernel parameters using regression convolutional neural networks
Luis G. Varela, Laura E. Boucheron, Steven Sandoval +2
Many deblurring and blur kernel estimation methods use a maximum a posteriori (MAP) approach or deep learning-based classification techniques to sharpen an image and/or predict the…
Deep Learning Estimation of Modified Zernike Coefficients and Recovery of Point Spread Functions in Turbulence
Abu Bucker Siddik, Steven Sandoval, David Voelz +2
Recovering the turbulence-degraded point spread function from a single intensity image is important for a variety of imaging applications. Here, a deep learning model based on a co…