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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 1–50 of 150 papers

TitleStatusHype
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image EnhancementCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
PIDSR: Complementary Polarized Image Demosaicing and Super-ResolutionCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive SensingCode1
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image ForensicsCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction methodCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
Plug-and-Play Algorithms for Video Snapshot Compressive ImagingCode1
Pyramid Attention Networks for Image RestorationCode1
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation—0
Bayer Demosaicking Using Optimized Mean Curvature over RGB channels—0
CRISPnet: Color Rendition ISP Net—0
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing—0
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging—0
A Geometric Model for Polarization Imaging on Projective Cameras—0
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor—0
Compressed Sensing, ASBSR-method of image sampling and reconstruction and the problem of digital image acquisition with the lowest possible sampling rate—0
Combining Pre- and Post-Demosaicking Noise Removal for RAW Video—0
A Review of an Old Dilemma: Demosaicking First, or Denoising First?—0
Hyperspectral Demosaicing of Snapshot Camera Images Using Deep Learning—0
Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures—0
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems—0
Joint Defogging and Demosaicking—0
Generalized Inpainting Method for Hyperspectral Image Acquisition—0
Demosaicing and Superresolution for Color Filter Array via Residual Image Reconstruction and Sparse Representation—0
CFA Bayer image sequence denoising and demosaicking chain—0
Generative Model-Assisted Demosaicing for Cross-multispectral Cameras—0
Color filter array demosaicking using densely connected residual network.—0
Discriminative Transfer Learning for General Image Restoration—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
CameraNet: A Two-Stage Framework for Effective Camera ISP Learning—0
Hue Modification Localization By Pair Matching—0
Aliasing Detection and Reduction in Plenoptic Imaging—0
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