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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
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive SensingCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Plug-and-Play Algorithms for Video Snapshot Compressive ImagingCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction methodCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image ForensicsCode1
PIDSR: Complementary Polarized Image Demosaicing and Super-ResolutionCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image EnhancementCode1
Pyramid Attention Networks for Image RestorationCode1
Low Cost Edge Sensing for High Quality DemosaickingCode0
A Framework for Fast Image Deconvolution with Incomplete ObservationsCode0
Consensus Convolutional Sparse CodingCode0
Low Cost Edge Sensing for High Quality DemosaickingCode0
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging ProblemsCode0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Learning Binary Color Filter Arrays with Trainable Hard ThresholdingCode0
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
Color Image Demosaicking Using a 3-Stage Convolutional Neural Network StructureCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw ImagesCode0
CURL: Neural Curve Layers for Global Image EnhancementCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
Hy-demosaicing: Hyperspectral blind reconstruction from spectral subsamplingCode0
Deep Residual Network for Joint Demosaicing and Super-ResolutionCode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
Iterative Joint Image Demosaicking and Denoising using a Residual Denoising NetworkCode0
Deep Mean-Shift Priors for Image RestorationCode0
Handheld Multi-Frame Super-ResolutionCode0
Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel CorrelationCode0
Boundary-based Image Forgery Detection by Fast Shallow CNNCode0
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