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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 131–140 of 150 papers

TitleStatusHype
DeepISP: Towards Learning an End-to-End Image Processing PipelineCode0
Boundary-based Image Forgery Detection by Fast Shallow CNNCode0
BLADE: Filter Learning for General Purpose Computational Photography—0
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising—0
Compressed Sensing, ASBSR-method of image sampling and reconstruction and the problem of digital image acquisition with the lowest possible sampling rate—0
Consensus Convolutional Sparse CodingCode0
Deep Mean-Shift Priors for Image RestorationCode0
Bayer Demosaicking Using Optimized Mean Curvature over RGB channels—0
Reconfiguring the Imaging Pipeline for Computer VisionCode0
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsCode0
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