Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

DVDnet: A Fast Network for Deep Video Denoising Slides

Abstract: 

This document includes the slides of the ICIP2019 presentation of the publication "DVDnet: A Fast Network for Deep Video Denoising".

Abstract of the publication:
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoising have been unsuccessful as their performance cannot compete with the performance of patch-based methods. However, our approach outperforms other patch-based competitors with significantly lower computing times. In contrast to other existing neural network denoisers, our algorithm exhibits several desirable properties such as a small memory footprint, and the ability to handle a wide range of noise levels with a single network model. The combination between its denoising performance and lower computational load makes this algorithm attractive for practical denoising applications. We compare our method with different state-of-art algorithms, both visually and with respect to objective quality metrics. The experiments show that our algorithm compares favorably to other state-of-art methods. Video examples, code and models are publicly available at \url{https://github.com/m-tassano/dvdnet}.

up
0 users have voted:

Paper Details

Authors:
Matias Tassano, Julie Delon, Thomas Veit
Submitted On:
10 September 2019 - 4:21pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Matias Tassano
Paper Code:
2371
Document Year:
2019
Cite

Document Files

presentation slides

(31)

Subscribe

[1] Matias Tassano, Julie Delon, Thomas Veit, "DVDnet: A Fast Network for Deep Video Denoising Slides", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4574. Accessed: Nov. 21, 2019.
@article{4574-19,
url = {http://sigport.org/4574},
author = {Matias Tassano; Julie Delon; Thomas Veit },
publisher = {IEEE SigPort},
title = {DVDnet: A Fast Network for Deep Video Denoising Slides},
year = {2019} }
TY - EJOUR
T1 - DVDnet: A Fast Network for Deep Video Denoising Slides
AU - Matias Tassano; Julie Delon; Thomas Veit
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4574
ER -
Matias Tassano, Julie Delon, Thomas Veit. (2019). DVDnet: A Fast Network for Deep Video Denoising Slides. IEEE SigPort. http://sigport.org/4574
Matias Tassano, Julie Delon, Thomas Veit, 2019. DVDnet: A Fast Network for Deep Video Denoising Slides. Available at: http://sigport.org/4574.
Matias Tassano, Julie Delon, Thomas Veit. (2019). "DVDnet: A Fast Network for Deep Video Denoising Slides." Web.
1. Matias Tassano, Julie Delon, Thomas Veit. DVDnet: A Fast Network for Deep Video Denoising Slides [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4574