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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 41–50 of 150 papers

TitleStatusHype
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging—0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Learning Binary Color Filter Arrays with Trainable Hard ThresholdingCode0
Deep convolutional demosaicking network for multispectral polarization filter array—0
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
Event Camera Demosaicing via Swin Transformer and Pixel-focus LossCode0
Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures—0
A Joint Multi-Gradient Algorithm for Demosaicing Bayer Images—0
Pixel-Inconsistency Modeling for Image Manipulation Localization—0
Joint Demosaicing and Denoising with Double Deep Image Priors—0
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