124 citations · 657 across the 40 of their papers we have counts for
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The Little Engine that Could: Regularization by Denoising (RED)
Yaniv Romano, Michael Elad, Peyman Milanfar
Removal of noise from an image is an extensively studied problem in image processing. Indeed, the recent advent of sophisticated and highly effective denoising algorithms lead some…
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren, Yaniv Romano, Michael Elad
Image and texture synthesis is a challenging task that has long been drawing attention in the fields of image processing, graphics, and machine learning. This problem consists of m…
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan, Yaniv Romano, Michael Elad
Convolutional neural networks (CNN) have led to many state-of-the-art results spanning through various fields. However, a clear and profound theoretical understanding of the forwar…
RAISR: Rapid and Accurate Image Super Resolution
Yaniv Romano, John Isidoro, Peyman Milanfar
Given an image, we wish to produce an image of larger size with significantly more pixels and higher image quality. This is generally known as the Single Image Super-Resolution (SI…
Con-Patch: When a Patch Meets its Context
Yaniv Romano, Michael Elad
Measuring the similarity between patches in images is a fundamental building block in various tasks. Naturally, the patch-size has a major impact on the matching quality, and on th…