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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 101–150 of 150 papers

TitleStatusHype
Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning—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
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network—0
Joint Demosaicing and Denoising with Double Deep Image Priors—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
Large-scale Global Low-rank Optimization for Computational Compressed Imaging—0
Learning Adaptive Parameter Tuning for Image Processing—0
Frequency Enhancement for Image DemosaickingCode0
Low Cost Edge Sensing for High Quality DemosaickingCode0
Generating Training Data for Denoising Real RGB Images via Camera Pipeline SimulationCode0
Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural NetworkCode0
Color Image Demosaicking Using a 3-Stage Convolutional Neural Network StructureCode0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
HighEr-Resolution Network for Image Demosaicing and EnhancingCode0
Boundary-based Image Forgery Detection by Fast Shallow CNNCode0
Deep Residual Network for Joint Demosaicing and Super-ResolutionCode0
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
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
Learning Binary Color Filter Arrays with Trainable Hard ThresholdingCode0
Deep Mean-Shift Priors for Image RestorationCode0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Residual Non-local Attention Networks for Image RestorationCode0
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsCode0
DeepISP: Towards Learning an End-to-End Image Processing PipelineCode0
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising NetworksCode0
Handheld Multi-Frame Super-ResolutionCode0
Low Cost Edge Sensing for High Quality DemosaickingCode0
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