We propose a training-free demosaicing method for multi-spectral filter array sensors by exploiting the concept of deep image prior. The proposed method does not require hard-to-obtain ground truth high resolution data corresponding to the bands of the filter array, and can thus be easily employed to arbitrary multispectral filter array configurations. Besides its training-free nature, the proposed method achieves improved performance with respect to state-of-the-art learning-based multispectral demosaicing methods.

MD2IP: Training-Free Multispectral Demosaicing with Deep Image Priors

Ntouskos V.;
2024-01-01

Abstract

We propose a training-free demosaicing method for multi-spectral filter array sensors by exploiting the concept of deep image prior. The proposed method does not require hard-to-obtain ground truth high resolution data corresponding to the bands of the filter array, and can thus be easily employed to arbitrary multispectral filter array configurations. Besides its training-free nature, the proposed method achieves improved performance with respect to state-of-the-art learning-based multispectral demosaicing methods.
2024
deep image prior
demosaicing
multispectral filter array
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12606/20870
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