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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 21–30 of 150 papers

TitleStatusHype
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image ForensicsCode1
Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction methodCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Plug-and-Play Algorithms for Video Snapshot Compressive ImagingCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Pyramid Attention Networks for Image RestorationCode1
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation—0
Bayer Demosaicking Using Optimized Mean Curvature over RGB channels—0
CRISPnet: Color Rendition ISP Net—0
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging—0
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