Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55530
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorFung, YH-
dc.creatorChan, YH-
dc.date.accessioned2016-09-07T02:53:12Z-
dc.date.available2016-09-07T02:53:12Z-
dc.identifier.isbn9781479946129-
dc.identifier.urihttp://hdl.handle.net/10397/55530-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.titleGreen noise video halftoningen_US
dc.typeConference Paperen_US
dc.identifier.spage89-
dc.identifier.epage93-
dc.identifier.doi10.1109/ICDSP.2014.6900807-
dcterms.abstractVideo halftoning is a technology used to render a video onto a display device that can only display limited number of levels. Conventional video halftoning algorithms produce blue noise video halftones which are prone to flickering. Dedicated deflickering processes are hence required to reduce flickering. These processes share a common approach in which pixels are artificially made stable subject to some quality constraints. Due to the difficulty to control the extent of stability, artifacts caused by overstability such as dirty window effect, subtle motion and residual shadow are easily found in video halftones. In this paper, we suggest producing green noise video halftones instead of blue noise video halftones. By doing so, we can effectively reduce flickering and eliminate artifacts caused by overstability from the root simultaneously.-
dcterms.bibliographicCitation2014 19th International Conference on Digital Signal Processing : Hong Kong, 20-23 August 2014, 6900807, p. 89-93-
dcterms.issued2014-
dc.identifier.scopus2-s2.0-84940757273-
dc.relation.ispartofbook2014 19th International Conference on Digital Signal Processing : Hong Kong, 20-23 August 2014-
dc.relation.conferenceInternational Conference on Digital Signal Processing-
dc.identifier.rosgroupid2014001404-
dc.description.ros2014-2015 > Academic research: refereed > Refereed conference paper-
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