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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 51–60 of 150 papers

TitleStatusHype
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems—0
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors—0
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks—0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
Double Binnable RGB, RGBW and LMS Color Filter Arrays—0
Model-based demosaicking for acquisitions by a RGBW color filter array—0
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging—0
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
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