Abstract
Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels.
Highlights
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One can reconstruct the resolution of the images while using prior knowledge regarding the scene statistics. This is very similar to color and spectral imaging [18,19,20,21,22] and polarization imaging [23,24] based on Generalized Filter Arrays imaging (GFA)
We investigated and analyzed the statistics of joint spectral and polarization images
Summary
One can reconstruct the resolution of the images while using prior knowledge regarding the scene statistics This is very similar to color and spectral imaging [18,19,20,21,22] and polarization imaging [23,24] based on GFAs. With the fusion of imaging modalities into one unique imaging setup, it is important to collect prior knowledge regarding image statistics, adapting demosaicing methods to the case of CPFA, and to define an imaging pipeline from sensor design to standardized data representation. The spectral and polarimetric acquisition only detects particular wavelengths λ and particular polarization angle β This selection is performed according to a detector with given spectral sensitivities and given polarizers, which filter the radiant signal I(λ, β) with filtering functions f , and gives output values ρ f.
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