Impact of interchannel misalignment on the performance of demosaicing algorithms dedicated to polarization images

Ronan Dumoulin; Pierre-Jean Lapray; Alban Foulonneau; Laurent Bigué

doi:10.1117/12.3017386

18 June 2024 Impact of interchannel misalignment on the performance of demosaicing algorithms dedicated to polarization images

Ronan Dumoulin, Pierre-Jean Lapray, Alban Foulonneau, Laurent Bigué

Author Affiliations +

Proceedings Volume 12996, Unconventional Optical Imaging IV; 129960V (2024) https://doi.org/10.1117/12.3017386
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

Thanks to some technical progress in filter array technologies, capturing multimodal data of a scene, such as polarization and/or spectral information, in a single acquisition is possible. Nevertheless, a reconstruction procedure referred to as demosaicing is required to produce the various full definition images in each band. The computational imaging community often needs full-reference images to assess the performance of these reconstruction algorithms. Nevertheless, these multidimensional data are increasingly complex to capture, as the number of channels increases in the image. This often leads to misalignment among channels or noise introduced by imperfect optics. In this work, we propose a study on the use of these imperfect data in the context of demosaicing. The impact of misalignment is assessed on an existing Color Polarization Filter Array database, from which we demosaic the data using three types of demosaicing algorithms and use either pre-processed or raw dataset. We found that denoising and registration do not modify the hierarchy of best performing algorithms in case of sub-pixel shifts. We also show that visual artifacts, usually attributed to drawbacks of training-based demosaicing algorithms, may instead be due to the use of unregistered images during the training stage of the algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Ronan Dumoulin, Pierre-Jean Lapray, Alban Foulonneau, and Laurent Bigué "Impact of interchannel misalignment on the performance of demosaicing algorithms dedicated to polarization images", Proc. SPIE 12996, Unconventional Optical Imaging IV, 129960V (18 June 2024); https://doi.org/10.1117/12.3017386

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