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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 11–20 of 150 papers

TitleStatusHype
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
Plug-and-Play Algorithms for Video Snapshot Compressive ImagingCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
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