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.File in questo prodotto:
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