Full-Stokes polarization multispectral images of various stereoscopic objects

Abstract

Polarization multispectral imaging (PMI) has been applied widely with the ability of characterizing physicochemical properties of objects. However, traditional PMI relies on scanning each domain, which is time-consuming and occupies vast storage resources. Therefore, it is imperative to develop advanced PMI methods to facilitate real-time and cost-effective applications. In addition, PMI development is inseparable from preliminary simulations based on full-Stokes polarization multispectral images (FSPMI). Whereas, FSPMI measurements are always necessary due to the lack of relevant databases, which is extremely complex and severely limits PMI development. In this paper, we therefore publicize abundant FSPMI with 512 × 512 spatial pixels measured by an established system for 67 stereoscopic objects. In the system, a quarter-wave plate and a linear polarizer are rotated to modulate polarization information, while bandpass filters are switched to modulate spectral information. The required FSPMI are finally calculated from designed 5 polarization modulation and 18 spectral modulation. The publicly available FSPMI database may have the potential to greatly promote PMI development and application.

Metasurface-based computational imaging: a review

“…3,[141][142][143][144] In the realm of polarization, the available data sets primarily feature limited linear polarization with RGB images. [145][146][147] The full-Stokes polarization spectral image data set has only recently been made available, 148 but it encompasses merely 63 images. To navigate this challenge, approaches like unsupervised 149 or weakly supervised learning 150 may offer solutions.…”

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