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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 76–100 of 150 papers

TitleStatusHype
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network—0
Joint Demosaicing and Denoising with Double Deep Image Priors—0
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation—0
CRISPnet: Color Rendition ISP Net—0
Joint Demosaicing and Super-Resolution (JDSR): Network Design and Perceptual Optimization—0
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty—0
Compressed Sensing, ASBSR-method of image sampling and reconstruction and the problem of digital image acquisition with the lowest possible sampling rate—0
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks—0
Large-scale Global Low-rank Optimization for Computational Compressed Imaging—0
Learning Adaptive Parameter Tuning for Image Processing—0
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging—0
Learning Deep Convolutional Networks for Demosaicing—0
SpoC: Spoofing Camera Fingerprints—0
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing—0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
A Joint Multi-Gradient Algorithm for Demosaicing Bayer Images—0
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
Learning to Jointly Deblur, Demosaick and Denoise Raw Images—0
Learning to Sample the Most Useful Training Patches from Images—0
A Geometric Model for Polarization Imaging on Projective Cameras—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging—0
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor—0
Combining Pre- and Post-Demosaicking Noise Removal for RAW Video—0
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