Matches in UGent Biblio for { <https://biblio.ugent.be/publication/420070#aggregation> ?p ?o. }
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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2007".
- aggregation hasFormat 420070.bibtex.
- aggregation hasFormat 420070.csv.
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- aggregation hasFormat 420070.doc.
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- aggregation isPartOf urn:isbn:978-3-540-74606-5.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation subject "Technology and Engineering".
- aggregation title "Image upscaling using global multimodal priors".
- aggregation abstract "This paper introduces a Bayesian restoration method for low-resolution images combined with a geometry-driven smoothness prior and a new global multimodal prior. The multimodal prior is proposed for images that normally just have a few dominant colours. In spite of this, most images contain much more colours due to noise and edge pixels that are part of two or more connected smooth regions. The Maximum A Posteriori estimator is worked out to solve the problem. Experimental results confirm the effectiveness of the proposed global multimodal prior for images with a strong multimodal colour distribution such as cartoons. We also show the visual superiority of our reconstruction scheme to other traditional interpolation and reconstruction methods: noise and compression artifacts are removed very well and our method produces less blur and other annoying artifacts.".
- aggregation authorList BK234969.
- aggregation endPage "484".
- aggregation startPage "473".
- aggregation volume "4678".
- aggregation isDescribedBy 420070.
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