Paper Info
Title
Deep Neural Image Denoising
Abstract
Presence of noise poses a common problem in image recognition tasks. In this paper we propose and analyse architecture of convolutional neural network capable of image denoising. We evaluate its performance with various types of artificial distortions present, with both known and unknown noise conditions. Finally, we measure how including denoising procedure in image recognition pipeline influences classification accuracy.
Year
DOI
Venue
2016
10.1007/978-3-319-46418-3_15
COMPUTER VISION AND GRAPHICS, ICCVG 2016
Field
DocType
Volume
Noise reduction,Computer vision,Pattern recognition,Convolutional neural network,Computer science,Image denoising,Artificial intelligence
Conference
9972
ISSN
Citations 
PageRank 
0302-9743
2
0.37
References 
Authors
10
2
Name
Order
Citations
PageRank
Michal Koziarski1183.66
Boguslaw Cyganek214524.53