O
Omar A. Elgendy
Researcher at Purdue University
Publications - 20
Citations - 973
Omar A. Elgendy is an academic researcher from Purdue University. The author has contributed to research in topics: Image sensor & Iterative reconstruction. The author has an hindex of 10, co-authored 20 publications receiving 565 citations. Previous affiliations of Omar A. Elgendy include Cairo University.
Papers
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Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications
TL;DR: It is shown that for any denoising algorithm satisfying an asymptotic criteria, called bounded denoisers, Plug-and-Play ADMM converges to a fixed point under a continuation scheme.
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Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications
TL;DR: In this paper, the authors proposed a Plug-and-Play ADMM algorithm with provable fixed point convergence for Gaussian and Poissonian image restoration problems, and showed that for any denoising algorithm satisfying an asymptotic criteria, called bounded denoisers, the algorithm converges to a fixed point under a continuation scheme.
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Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors
TL;DR: A non-iterative image reconstruction algorithm for QIS that directly recovers the images through a pair of nonlinear transformations and an off-the-shelf image denoising algorithm, achieving orders of magnitude improvement in speed and even better image reconstruction quality.
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Megapixel photon-counting color imaging using quanta image sensor
TL;DR: In this article, the authors presented an image reconstruction of the first color QIS with a resolution of 1024 × 1024 pixels, supporting both single-bit and multi-bit photon counting capability.
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Low-Light Demosaicking and Denoising for Small Pixels Using Learned Frequency Selection
TL;DR: In this paper, a learning-based joint demosaicing and denoising algorithm for low-light color imaging is proposed, which combines the classical theory of color filter arrays and modern deep learning.