Dual-Domain Image Denoising

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

[img] Text
stamp.jsp_tp=&arnumber=6738091&tag=1 - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1kB) | Request a copy

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 and 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: 26 Apr 2017 02:28
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: http://boris.unibe.ch/id/eprint/45406

Actions (login required)

Edit item Edit item
Provide Feedback