128 citations · 155 across the 10 of their papers we have counts for
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LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
Gregory Vaksman, Michael Elad, Peyman Milanfar
Image denoising is a well studied problem with an extensive activity that has spread over several decades. Despite the many available denoising algorithms, the quest for simple, po…
Rethinking the CSC Model for Natural Images
Dror Simon, Michael Elad
Sparse representation with respect to an overcomplete dictionary is often used when regularizing inverse problems in signal and image processing. In recent years, the Convolutional…
Deep K-SVD Denoising
Meyer Scetbon, Michael Elad, Peyman Milanfar
This work considers noise removal from images, focusing on the well known K-SVD denoising algorithm. This sparsity-based method was proposed in 2006, and for a short while it was c…
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…