Knaus, Claude; Zwicker, Matthias (2015). Dual-Domain Filtering. SIAM Journal on Imaging Sciences, 8(3), pp. 1396-1420. SIAM 10.1137/140978879
|
Text
140978879.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (4MB) | Preview |
We propose dual-domain filtering, an image processing paradigm that couples spatial domain with frequency domain filtering. Our dual-domain defined filter removes artifacts like residual noise of other image denoising methods and compression artifacts. Moreover, iterating the filter achieves state-of-the-art image denoising results, but with a much simpler algorithm than competing approaches. The simplicity and versatility of the dual-domain filter makes it an attractive tool for image processing.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG) 08 Faculty of Science > Institute of Computer Science (INF) |
UniBE Contributor: |
Knaus, Claude, Zwicker, Matthias |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
ISSN: |
1936-4954 |
Publisher: |
SIAM |
Language: |
English |
Submitter: |
Matthias Zwicker |
Date Deposited: |
08 Jun 2016 13:06 |
Last Modified: |
05 Dec 2022 14:55 |
Publisher DOI: |
10.1137/140978879 |
BORIS DOI: |
10.7892/boris.81124 |
URI: |
https://boris.unibe.ch/id/eprint/81124 |
Actions (login required)
 |
Edit item |