Show simple item record

dc.contributor.authorTrussell, H. J.
dc.contributor.authorErcan, Ali Özer
dc.contributor.authorKingsbury, N. G.
dc.date.accessioned2017-01-24T06:55:37Z
dc.date.available2017-01-24T06:55:37Z
dc.date.issued2016
dc.identifier.issn2381-8549en_US
dc.identifier.urihttp://hdl.handle.net/10679/4719
dc.identifier.urihttp://ieeexplore.ieee.org/document/7533108/
dc.description.abstractIt is well known that many more than three or four spectral measurements are required for accurate measurement of color. Previous work has shown seven to ten measurements can yield accurate results on average, but with significant numbers of errors above the threshold of obvious visual detection. Furthermore, the filters used for these measurements are very difficult to fabricate. We show that such filters are not needed and, in fact, have much poorer performance, in perceptual quality measured in ΔEab, than simple narrow-band filters. This is especially true in the presence of Poisson noise at a level common in current digital cameras. In realistic Poisson noise, our filter sets of up to 12 filters allow average ΔEab values around 0.5, with maximum errors below 3.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofImage Processing (ICIP), 2016 IEEE International Conference onen_US
dc.rightsrestrictedAccess
dc.titleColor filters: When “optimal” is not optimalen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.ozuauthorErcan, Ali Özer
dc.identifier.wosWOS:000390782003198
dc.identifier.doi10.1109/ICIP.2016.7533108en_US
dc.subject.keywordsColor image processingen_US
dc.subject.keywordsSpectral measurementen_US
dc.identifier.scopusSCOPUS:2-s2.0-85006750252
dc.contributor.authorMale1


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


Share this page