dc.contributor.author | Eskelinen, Matti | |
dc.contributor.author | Hämäläinen, Jyri | |
dc.date.accessioned | 2019-07-29T05:31:14Z | |
dc.date.available | 2019-07-29T05:31:14Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Eskelinen, M., & Hämäläinen, J. (2019). Dangers of Demosaicing : Confusion From Correlation. In <i>WHISPERS 2018 : 9th Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing</i>. IEEE. <a href="https://doi.org/10.1109/WHISPERS.2018.8747204" target="_blank">https://doi.org/10.1109/WHISPERS.2018.8747204</a> | |
dc.identifier.other | CONVID_32243924 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/65124 | |
dc.description.abstract | Images from colour sensors using Bayer filter arrays require demosaicing before viewing or further analysis. Advanced demosaicing methods use empirical knowledge of
inter-channel correlations to reduce interpolation artefacts in
the resulting images. These inter-channel correlations are
however different for standard RGB cameras and hyperspectral imagers using colour sensors with added narrow-band
spectral filtering.
We study the effects of conventional demosaicing methods on hyperspectral images with a dataset originally collected without a colour filter array. We find that using advanced methods instead of bilinear interpolation results in an
overall increase of 9–14 % in absolute error and a decrease
of 1–3 % in PSNR, but also observed a decrease in MSE of
11–13 %.
For the corresponding RGB images, the advanced methods improved fidelity as expected. The results also demonstrate that the reconstruction methods that take advantage of
correlation transport noise present in a single component to
other reconstructed layers. | fi |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | IEEE | |
dc.relation.ispartof | WHISPERS 2018 : 9th Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing | |
dc.rights | In Copyright | |
dc.subject.other | hyperspektrikuvantaminen | |
dc.subject.other | colour sensors | |
dc.subject.other | hyperspectral imagers | |
dc.title | Dangers of Demosaicing : Confusion From Correlation | |
dc.type | conference paper | |
dc.identifier.urn | URN:NBN:fi:jyu-201907253684 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.date.updated | 2019-07-25T12:15:08Z | |
dc.relation.isbn | 978-1-7281-1581-8 | |
dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
dc.description.reviewstatus | nonPeerReviewed | |
dc.relation.issn | 2158-6276 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © IEEE, 2019. | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | conferenceObject | |
dc.relation.conference | Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing | |
dc.subject.yso | spektrikuvaus | |
dc.subject.yso | kuvantaminen | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p26364 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3532 | |
dc.rights.url | http://rightsstatements.org/page/InC/1.0/?language=en | |
dc.relation.doi | 10.1109/WHISPERS.2018.8747204 | |
dc.type.okm | B3 | |