Dual-Domain Image Denoising
| Data(s) |
15/09/2013
|
|---|---|
| Resumo |
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. |
| Formato |
text/html |
| Identificador |
http://boris.unibe.ch/45406/1/stamp.jsp_tp%3D%26arnumber%3D6738091%26tag%3D1 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 <http://dx.doi.org/10.1109/ICIP.2013.6738091> doi:10.7892/boris.45406 info:doi:10.1109/ICIP.2013.6738091 urn:isbn:978-1-4799-2341-0 |
| Idioma(s) |
eng |
| Publicador |
IEEE |
| Relação |
http://boris.unibe.ch/45406/ http://dx.doi.org/10.1109/ICIP.2013.6738091 |
| Direitos |
info:eu-repo/semantics/restrictedAccess |
| Fonte |
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 <http://dx.doi.org/10.1109/ICIP.2013.6738091> |
| Palavras-Chave | #000 Computer science, knowledge & systems #510 Mathematics |
| Tipo |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion PeerReviewed |
