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Demosaicking

Most modern digital cameras acquire color images by measuring only one color channel per pixel, red, green, or blue, according to a specific pattern called the Bayer pattern. Demosaicking is the processing step that reconstruct a full color image given these incomplete measurements.

Source: Revisiting Non Local Sparse Models for Image Restoration

Papers

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Showing 91–100 of 150 papers

TitleStatusHype
A Joint Multi-Gradient Algorithm for Demosaicing Bayer Images—0
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
Learning to Jointly Deblur, Demosaick and Denoise Raw Images—0
Learning to Sample the Most Useful Training Patches from Images—0
A Geometric Model for Polarization Imaging on Projective Cameras—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging—0
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor—0
Combining Pre- and Post-Demosaicking Noise Removal for RAW Video—0
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