Skip to main content
Record
Title
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
Type
Student Paper
Publ. year
2019
Author/s
Borglund, Tim; Nilsson, Tor
Department/s
Mathematics (Faculty of Engineering)
In LUP since
2019-04-12
Downloads

Total This Year This Month
798 298 2
 Downloads per Country

China
176 (22%)
Sweden
151 (19%)
United States of America
136 (17%)
Germany
30 (4%)
Hong Kong (China)
23 (3%)
Brazil
21 (3%)
France
21 (3%)
India
20 (3%)
United Kingdom of Great Britain and Northern Ireland
20 (3%)
Singapore
19 (2%)
Japan
14 (2%)
Taiwan (China)
11 (1%)
Viet Nam
11 (1%)
Netherlands (Kingdom of the)
9 (1%)
Russian Federation
8 (1%)
Australia
7 (1%)
Malaysia
7 (1%)
Switzerland
6 (1%)
South Korea
6 (1%)
Israel
5 (1%)
Canada
5 (1%)
Mexico
5 (1%)
Bangladesh
4 (1%)
Unknown
4 (1%)
Czechia
4 (1%)
Ukraine
4 (1%)
Indonesia
4 (1%)
Spain
4 (1%)
Lithuania
4 (1%)
Argentina
3 (0%)
Poland
3 (0%)
Italy
3 (0%)
Ecuador
2 (0%)
Algeria
2 (0%)
Colombia
2 (0%)
Iraq
2 (0%)
Norway
2 (0%)
Tunisia
2 (0%)
Uruguay
2 (0%)
Bulgaria
2 (0%)
Thailand
2 (0%)
Denmark
2 (0%)
Turkiye
2 (0%)
Philippines
1 (0%)
Angola
1 (0%)
Kyrgyzstan
1 (0%)
Benin
1 (0%)
Greece
1 (0%)
Panama
1 (0%)
Uzbekistan
1 (0%)
Kuwait
1 (0%)
Belgium
1 (0%)
Bolivia
1 (0%)
Honduras
1 (0%)
Bosnia and Herzegovina
1 (0%)
Belize
1 (0%)
Jordan
1 (0%)
Peru
1 (0%)
New Zealand
1 (0%)
Austria
1 (0%)
Moldova, The Republic of
1 (0%)
Nepal
1 (0%)
United Arab Emirates
1 (0%)
Albania
1 (0%)
Paraguay
1 (0%)
Syrian Arab Republic
1 (0%)
Barbados
1 (0%)
Iran
1 (0%)
Senegal
1 (0%)
South Africa
1 (0%)
Ireland
1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access full-texts. Efforts have been made to exclude downloads by robots and track irregular download activities.

About accessibility

Disclaimer
The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
2026-10-05 11:49:09