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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 61–70 of 150 papers

TitleStatusHype
High-dimensional Assisted Generative Model for Color Image RestorationCode0
HighEr-Resolution Network for Image Demosaicing and EnhancingCode0
Learning Binary Color Filter Arrays with Trainable Hard ThresholdingCode0
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsCode0
Projected Distribution Loss for Image EnhancementCode0
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing—0
Gradient-based Feature Extraction From Raw Bayer Pattern Images—0
Generative Model-Assisted Demosaicing for Cross-multispectral Cameras—0
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation—0
Bayer Demosaicking Using Optimized Mean Curvature over RGB channels—0
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