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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 1–25 of 150 papers

TitleStatusHype
PIDSR: Complementary Polarized Image Demosaicing and Super-ResolutionCode1
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
Pyramid Attention Networks for Image RestorationCode1
Fully Trainable and Interpretable Non-Local Sparse Models for Image RestorationCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image EnhancementCode1
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
AIM 2020 Challenge on Learned Image Signal Processing PipelineCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image ForensicsCode1
Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction methodCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Plug-and-Play Algorithms for Video Snapshot Compressive ImagingCode1
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
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