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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
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
Pyramid Attention Networks for Image RestorationCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Event Camera Demosaicing via Swin Transformer and Pixel-focus LossCode0
A Framework for Fast Image Deconvolution with Incomplete ObservationsCode0
Consensus Convolutional Sparse CodingCode0
Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel CorrelationCode0
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