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SYSTEMS AND METHODS FOR MULTISPECTRAL IMAGE DEMOSAICKING USING DEEP PANCHROMATIC IMAGE GUIDED RESIDUAL INTERPOLATION

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

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.
机译:这里描述的是使用深度平面图像引导剩余插值的多光谱图像去肌的系统和实施例。公开了基于RESET的深度学习模型的实施例以重建来自多光谱滤波器阵列(MSFA)镶嵌图像的全分辨率的全分辨率。在一个或多个实施例中,将重建的深度平面图像(DPI)部署为使用双通过引导的残余插值方法来恢复全分辨率多光谱图像的指南。实验结果表明,所公开的方法实施例优于定性和定量的一些最先进的常规和深度学习模拟方法。

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