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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

Showing 76100 of 150 papers

TitleStatusHype
Pre-demosaic Graph-based Light Field Image Compression0
Procedural Kernel Networks0
Raw Bayer Pattern Image Synthesis for Computer Vision-oriented Image Signal Processing Pipeline Design0
Real-time division-of-focal-plane polarization imaging system with progressive networks0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images0
Joint Demosaicking and Denoising Benefits from a Two-stage Training Strategy0
Residual Swin Transformer Channel Attention Network for Image Demosaicing0
Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera0
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging0
Snapshot HDR Video Construction Using Coded Mask0
Snapshot multispectral imaging using a filter array0
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: Application to surgical imaging0
SpoC: Spoofing Camera Fingerprints0
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing0
Toward Moiré-Free and Detail-Preserving Demosaicking0
Double Binnable RGB, RGBW and LMS Color Filter Arrays0
Two-Step Color-Polarization Demosaicking Network0
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising0
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks0
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution0
Generalized Inpainting Method for Hyperspectral Image Acquisition0
Generative Model-Assisted Demosaicing for Cross-multispectral Cameras0
Gradient-based Feature Extraction From Raw Bayer Pattern Images0
How to Best Combine Demosaicing and Denoising?0
Hue Modification Localization By Pair Matching0
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