Dangers of Demosaicing : Confusion From Correlation
Eskelinen, M., & Hämäläinen, J. (2019). Dangers of Demosaicing : Confusion From Correlation. In WHISPERS 2018 : 9th Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. IEEE. https://doi.org/10.1109/WHISPERS.2018.8747204
Päivämäärä
2019Tekijänoikeudet
© IEEE, 2019.
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.
...
Julkaisija
IEEEEmojulkaisun ISBN
978-1-7281-1581-8Konferenssi
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote SensingKuuluu julkaisuun
WHISPERS 2018 : 9th Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote SensingISSN Hae Julkaisufoorumista
2158-6276Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/32243924
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