Abstract
Snapshot polarization imaging has gained interest in the last few decades. Recent research and technology achievements defined the polarization Filter Array (PFA). It is dedicated to division-of-focal plane polarimeters, which permits to analyze the direction of light electric field oscillation. Its filters form a mosaicked pattern, in which each pixel only senses a fraction of the total polarization states, so the other missing polarization states have to be interpolated. As for Color or Spectral Filter Arrays (CFA or SFA), several dedicated demosaicking methods exist in the PFA literature. Such methods are mainly based on spatial correlation disregarding inter-channel correlation. We show that polarization channels are strongly correlated in images. We therefore propose to extend some demosaicking methods from CFA/SFA to PFA, and compare them with those that are PFA-oriented. Objective and subjective analysis show that the pseudo panchromatic image difference method provides the best results and can be used as benchmark for PFA demosaicking.
Highlights
Polarization imaging is a way to analyze the particular direction of oscillation of the electric field described by the light
By considering the inter-channel correlation, Color Filter Array (CFA) and SFA schemes aim to improve the spatial reconstruction of channels from the information of other channels
Experiments on the only available polarization image database have shown that such methods provides better results in term of Peak Signal-to-Noise Ratio (PSNR)
Summary
Polarization imaging is a way to analyze the particular direction of oscillation of the electric field described by the light. In opposition with conventional color or multispectral imaging that sample the spectral information, polarization imaging considers the electric field as a vector. Such a vector field is contained in a plane perpendicular to the direction of propagation. It can oscillate in one particular direction (linear polarization), or in an ellipse (elliptic or circular polarization). Values of polarization images depend on the polarization properties of both the light source and the objects that compose the observed scene. The light can be partially polarized or unpolarized, resulting from either a rapidly changing state of polarization, or an interference effect of polarization
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