Matches in UGent Biblio for { <https://biblio.ugent.be/publication/607436#aggregation> ?p ?o. }
Showing items 1 to 38 of
38
with 100 items per page.
- aggregation classification "A1".
- aggregation creator B329480.
- aggregation creator B329481.
- aggregation creator B329482.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2009".
- aggregation format "application/pdf".
- aggregation hasFormat 607436.bibtex.
- aggregation hasFormat 607436.csv.
- aggregation hasFormat 607436.dc.
- aggregation hasFormat 607436.didl.
- aggregation hasFormat 607436.doc.
- aggregation hasFormat 607436.json.
- aggregation hasFormat 607436.mets.
- aggregation hasFormat 607436.mods.
- aggregation hasFormat 607436.rdf.
- aggregation hasFormat 607436.ris.
- aggregation hasFormat 607436.txt.
- aggregation hasFormat 607436.xls.
- aggregation hasFormat 607436.yaml.
- aggregation isPartOf urn:issn:1051-8215.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods".
- aggregation abstract "Integrating video coding and denoising is a novel processing paradigm, bringing mutual benefits to both video processing tools. In this paper, we propose a novel video denoising approach of which the main idea is reusing motion estimation resources from the video coding module for video denoising. In most cases, the motion fields produced by real-time video codecs cannot be directly employed in video denoising, since they, as opposed to noise filters, tolerate errors in the motion field. In order to solve this problem, we propose a novel motion-field filtering step that refines the accuracy of the motion estimates to a degree that is required for denoising. Additionally, a novel temporal filter is proposed that is robust against errors in the estimated motion field. Numerical results demonstrate that the proposed denoising scheme is of low-complexity and compares favorably to the state-of-the-art video denoising methods.".
- aggregation authorList BK621450.
- aggregation endPage "421".
- aggregation issue "3".
- aggregation startPage "417".
- aggregation volume "19".
- aggregation aggregates 628209.
- aggregation isDescribedBy 607436.
- aggregation similarTo TCSVT.2009.2013491.
- aggregation similarTo LU-607436.