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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
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging—0
Discriminative Transfer Learning for General Image Restoration—0
Deep Demosaicing for Edge Implementation—0
Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors—0
Enabling ISP-less Low-Power Computer Vision—0
Deep convolutional demosaicking network for multispectral polarization filter array—0
Joint Demosaicking and Denoising Benefits from a Two-stage Training Strategy—0
Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns—0
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