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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 New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
A Framework for Fast Image Deconvolution with Incomplete ObservationsCode0
Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel CorrelationCode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
Reconfiguring the Imaging Pipeline for Computer VisionCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
CURL: Neural Curve Layers for Global Image EnhancementCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution PipelineCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
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