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eess.IV2023★ 8 cited
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…
eess.IV2023★ 31 cited
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…