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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 41–50 of 150 papers

TitleStatusHype
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing—0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging—0
Large-scale Global Low-rank Optimization for Computational Compressed Imaging—0
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging—0
A Geometric Model for Polarization Imaging on Projective Cameras—0
Deep Demosaicing for Polarimetric Filter Array CamerasCode0
Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning—0
Enabling ISP-less Low-Power Computer Vision—0
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