Dangers of Demosaicing: Confusion From Correlation

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)(2018)

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摘要
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.
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关键词
Hyperspectral imaging,Fabry-Perot,Instruments,Bayer pattern,Colour filter array (CFA) interpolation,Demosaicing,Algorithms
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