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SYSTEMS AND METHODS FOR MULTISPECTRAL IMAGE DEMOSAICKING USING DEEP PANCHROMATIC IMAGE GUIDED RESIDUAL INTERPOLATION
SYSTEMS AND METHODS FOR MULTISPECTRAL IMAGE DEMOSAICKING USING DEEP PANCHROMATIC IMAGE GUIDED RESIDUAL INTERPOLATION
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机译:利用深度平面图像导向剩余插值的多光谱图像模型的系统和方法
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摘要
Described herein are systems and embodiments for multispectral image demosaicking using deep panchromatic image guided residual interpolation. Embodiments of a ResNet-based deep learning model are disclosed to reconstruct the full-resolution panchromatic image from multispectral filter array (MSFA) mosaic image. In one or more embodiments, the reconstructed deep panchromatic image (DPI) is deployed as the guide to recover the full-resolution multispectral image using a two-pass guided residual interpolation methodology. Experiment results demonstrate that the disclosed method embodiments outperform some state-of-the-art conventional and deep learning demosaicking methods both qualitatively and quantitatively.
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