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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 1–10 of 150 papers

TitleStatusHype
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image ForensicsCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
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