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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 141–150 of 150 papers

TitleStatusHype
Learning Binary Color Filter Arrays with Trainable Hard ThresholdingCode0
Deep Mean-Shift Priors for Image RestorationCode0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Residual Non-local Attention Networks for Image RestorationCode0
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsCode0
DeepISP: Towards Learning an End-to-End Image Processing PipelineCode0
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising NetworksCode0
Handheld Multi-Frame Super-ResolutionCode0
Low Cost Edge Sensing for High Quality DemosaickingCode0
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