Progressive Image Denoising
Data(s) |
2014
|
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Resumo |
Image denoising continues to be an active research topic. Although state-of-the-art denoising methods are numerically impressive and approch theoretical limits, they suffer from visible artifacts.While they produce acceptable results for natural images, human eyes are less forgiving when viewing synthetic images. At the same time, current methods are becoming more complex, making analysis, and implementation difficult. We propose image denoising as a simple physical process, which progressively reduces noise by deterministic annealing. The results of our implementation are numerically and visually excellent. We further demonstrate that our method is particularly suited for synthetic images. Finally, we offer a new perspective on image denoising using robust estimators. |
Formato |
application/pdf |
Identificador |
http://boris.unibe.ch/63337/1/tip-preprint.pdf Knaus, Claude; Zwicker, Matthias (2014). Progressive Image Denoising. IEEE transactions on image processing, 23(7), pp. 3114-3125. IEEE 10.1109/TIP.2014.2326771 <http://dx.doi.org/10.1109/TIP.2014.2326771> doi:10.7892/boris.63337 info:doi:10.1109/TIP.2014.2326771 urn:issn:1057-7149 |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://boris.unibe.ch/63337/ |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Knaus, Claude; Zwicker, Matthias (2014). Progressive Image Denoising. IEEE transactions on image processing, 23(7), pp. 3114-3125. IEEE 10.1109/TIP.2014.2326771 <http://dx.doi.org/10.1109/TIP.2014.2326771> |
Palavras-Chave | #000 Computer science, knowledge & systems #510 Mathematics |
Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed |