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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

Showing 121130 of 150 papers

TitleStatusHype
Hy-demosaicing: Hyperspectral blind reconstruction from spectral subsamplingCode0
Projected Distribution Loss for Image EnhancementCode0
Event Camera Demosaicing via Swin Transformer and Pixel-focus LossCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
Iterative Joint Image Demosaicking and Denoising using a Residual Denoising NetworkCode0
Deep Demosaicing for Polarimetric Filter Array CamerasCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image SensorsCode0
Consensus Convolutional Sparse CodingCode0
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw ImagesCode0
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