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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 51–75 of 150 papers

TitleStatusHype
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems—0
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors—0
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks—0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
Double Binnable RGB, RGBW and LMS Color Filter Arrays—0
Model-based demosaicking for acquisitions by a RGBW color filter array—0
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging—0
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
NeRD: Neural field-based Demosaicking—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing—0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging—0
Large-scale Global Low-rank Optimization for Computational Compressed Imaging—0
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging—0
A Geometric Model for Polarization Imaging on Projective Cameras—0
Deep Demosaicing for Polarimetric Filter Array CamerasCode0
Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning—0
Enabling ISP-less Low-Power Computer Vision—0
Two-Step Color-Polarization Demosaicking Network—0
Residual Swin Transformer Channel Attention Network for Image Demosaicing—0
CRISPnet: Color Rendition ISP Net—0
PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image SensorsCode0
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