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
|Date Deposited:||09 Apr 2014 11:37|
|Last Modified:||26 Apr 2017 02:28|
|Uncontrolled Keywords:||Image denoising, bilateral filter, wavelet shrinkage, short-time Fourier transform|