64 research outputs found
Color demosaicking by local directional interpolation andĀ nonlocal adaptive thresholding
2010-2011 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
NeRD: Neural field-based Demosaicking
We introduce NeRD, a new demosaicking method for generating full-color images
from Bayer patterns. Our approach leverages advancements in neural fields to
perform demosaicking by representing an image as a coordinate-based neural
network with sine activation functions. The inputs to the network are spatial
coordinates and a low-resolution Bayer pattern, while the outputs are the
corresponding RGB values. An encoder network, which is a blend of ResNet and
U-net, enhances the implicit neural representation of the image to improve its
quality and ensure spatial consistency through prior learning. Our experimental
results demonstrate that NeRD outperforms traditional and state-of-the-art
CNN-based methods and significantly closes the gap to transformer-based
methods.Comment: 5 pages, 4 figures, 1 tabl
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