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

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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:

https://boris.unibe.ch/id/eprint/45406

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