Knaus, Claude; Zwicker, Matthias (15 September 2013). Dual-Domain Image Denoising. In: 2013 20th IEEE International Conference on Image Processing (ICIP) (pp. 440-444). IEEE 10.1109/ICIP.2013.6738091
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Official URL: http://dx.doi.org/10.1109/ICIP.2013.6738091
Image denoising methods have been implemented in both spatial and
transform domains. Each domain has its advantages and shortcomings,
which can be complemented by each other. State-of-the-art
methods like block-matching 3D filtering (BM3D) therefore combine
both domains. However, implementation of such methods is
not trivial. We offer a hybrid method that is surprisingly easy to
implement and yet rivals BM3D in quality.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
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 |
ISBN: |
978-1-4799-2341-0 |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Matthias Zwicker |
Date Deposited: |
09 Apr 2014 11:37 |
Last Modified: |
05 Dec 2022 14:30 |
Publisher DOI: |
10.1109/ICIP.2013.6738091 |
Uncontrolled Keywords: |
Image denoising, bilateral filter, wavelet shrinkage, short-time Fourier transform |
BORIS DOI: |
10.7892/boris.45406 |
URI: |
https://boris.unibe.ch/id/eprint/45406 |
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