Illumination-robust multispectral demosaicing

Abstract : Snapshot multispectral cameras that are equipped with filter arrays acquire a raw image that represents the radiance of a scene over the electromagnetic spectrum at video rate. These cameras require a demosaicing procedure to estimate a multispectral image with full spatio-spectral definition. Such a procedure is based on spectral correlation properties that are sensitive to illumination. In this paper, we first highlight the influence of illumination on demosaicing performances. Then we propose camera-, illumination-, and raw image-based normalisations that make demosaicing robust to illumination. Experimental results on state-of-the-art demosaicing algorithms show that such normalisations improve the quality of multispectral images estimated from raw images acquired under various illuminations.
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Communication dans un congrès
The sixth IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2017, Montreal, Canada. 2018, 〈10.1109/IPTA.2017.8310135〉
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Sofiane Mihoubi, Benjamin Mathon, Jean-Baptiste Thomas, Olivier Losson, Ludovic Macaire. Illumination-robust multispectral demosaicing. The sixth IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2017, Montreal, Canada. 2018, 〈10.1109/IPTA.2017.8310135〉. 〈hal-01681427〉

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