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