Joint Demosaicing and Denoising
4 papers with code • 8 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Joint Demosaicing and Denoising
Urban100
BSD100
McMaster
REDS
Most implemented papers
Joint Demosaicing and Denoising With Self Guidance
laulampaul/sgnet
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CVPR 2020
In this paper, we propose a self-guidance network (SGNet), where the green channels are initially estimated and then works as a guidance to recover all missing values in the input image.
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor
In this paper, we tackle the challenges of joint demosaicing and denoising (JDD) on such an image sensor by introducing a novel learning-based method.
SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction
sharif-apu/sagan_bmvc21
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The British Machine Vision Conference 2021
We combine our proposed module with adversarial learning to produce plausible images from Nona-Bayer CFA.
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
guoshi28/2stagealign
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CVPR 2022
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data.
