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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 81–90 of 150 papers

TitleStatusHype
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
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