128 citations · 155 across the 10 of their papers we have counts for
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What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
Gilad Kutiel, Regev Cohen, Michael Elad +1
Estimating uncertainty in image-to-image networks is an important task, particularly as such networks are being increasingly deployed in the biological and medical imaging realms.…
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Gregory Vaksman, Michael Elad
Supervised neural networks are known to achieve excellent results in various image restoration tasks. However, such training requires datasets composed of pairs of corrupted images…
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
Gregory Vaksman, Michael Elad, Peyman Milanfar
The non-local self-similarity property of natural images has been exploited extensively for solving various image processing problems. When it comes to video sequences, harnessing…
DeepRED: Deep Image Prior Powered by RED
Gary Mataev, Michael Elad, Peyman Milanfar
Inverse problems in imaging are extensively studied, with a variety of strategies, tools, and theory that have been accumulated over the years. Recently, this field has been immens…
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
Alona Golts, Daniel Freedman, Michael Elad
Single image dehazing is a critical stage in many modern-day autonomous vision applications. Early prior-based methods often involved a time-consuming minimization of a hand-crafte…
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model
Ev Zisselman, Jeremias Sulam, Michael Elad
The Convolutional Sparse Coding (CSC) model has recently gained considerable traction in the signal and image processing communities. By providing a global, yet tractable, model th…