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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 101–125 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
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