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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 51–100 of 150 papers

TitleStatusHype
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw ImagesCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Learning Binary Color Filter Arrays with Trainable Hard ThresholdingCode0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsCode0
Low Cost Edge Sensing for High Quality DemosaickingCode0
Low Cost Edge Sensing for High Quality DemosaickingCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Projected Distribution Loss for Image EnhancementCode0
PyNET-QxQ: An Efficient PyNET Variant for QxQ Bayer Pattern Demosaicing in CMOS Image SensorsCode0
Reconfiguring the Imaging Pipeline for Computer VisionCode0
Residual Non-local Attention Networks for Image RestorationCode0
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural NetworkCode0
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution PipelineCode0
Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera—0
Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning—0
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing—0
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging—0
Snapshot HDR Video Construction Using Coded Mask—0
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems—0
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor—0
Joint Defogging and Demosaicking—0
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging—0
Snapshot multispectral imaging using a filter array—0
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network—0
Joint Demosaicing and Denoising with Double Deep Image Priors—0
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation—0
CRISPnet: Color Rendition ISP Net—0
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization—0
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty—0
Compressed Sensing, ASBSR-method of image sampling and reconstruction and the problem of digital image acquisition with the lowest possible sampling rate—0
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks—0
Large-scale Global Low-rank Optimization for Computational Compressed Imaging—0
Learning Adaptive Parameter Tuning for Image Processing—0
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging—0
Learning Deep Convolutional Networks for Demosaicing—0
SpoC: Spoofing Camera Fingerprints—0
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing—0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
A Joint Multi-Gradient Algorithm for Demosaicing Bayer Images—0
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
Learning to Jointly Deblur, Demosaick and Denoise Raw Images—0
Learning to Sample the Most Useful Training Patches from Images—0
A Geometric Model for Polarization Imaging on Projective Cameras—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging—0
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor—0
Combining Pre- and Post-Demosaicking Noise Removal for RAW Video—0
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