Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

DeepISP: Toward Learning an End-to-End Image Processing Pipeline

From MaRDI portal
Publication:4617949
Jump to:navigation, search

DOI10.1109/TIP.2018.2872858zbMath1409.94533arXiv1801.06724OpenAlexW2952046917WikidataQ57055780 ScholiaQ57055780MaRDI QIDQ4617949

Alex M. Bronstein, Eli Schwartz, Raja Giryes

Publication date: 7 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.06724



Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)


Related Items (4)

Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie ⋮ Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior ⋮ On maximum a posteriori estimation with Plug \& Play priors and stochastic gradient descent ⋮ Shared Prior Learning of Energy-Based Models for Image Reconstruction







This page was built for publication: DeepISP: Toward Learning an End-to-End Image Processing Pipeline

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:4617949&oldid=18791996"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
This page was last edited on 7 February 2024, at 14:38.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki