no code implementations • 2 Feb 2023 • Yuchen Xu, Andrew M. Thomas, Peter A. Crozier, David S. Matteson
Ridge detection is a classical tool to extract curvilinear features in image processing.
no code implementations • NeurIPS 2021 • Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets.
no code implementations • 19 Jan 2021 • Joshua L. Vincent, Ramon Manzorro, Sreyas Mohan, Binh Tang, Dev Y. Sheth, Eero P. Simoncelli, David S. Matteson, Carlos Fernandez-Granda, Peter A. Crozier
This shows that the network exploits global and local information in the noisy measurements, for example, by adapting its filtering approach when it encounters atomic-level defects at the nanoparticle surface.
Denoising Materials Science Image and Video Processing
1 code implementation • ICCV 2021 • Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
This is advantageous because motion compensation is computationally expensive, and can be unreliable when the input data are noisy.
Ranked #5 on Video Denoising on Set8 sigma50
no code implementations • 24 Oct 2020 • Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
SBD outperforms existing techniques by a wide margin on a simulated benchmark dataset, as well as on real data.