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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 31–40 of 150 papers

TitleStatusHype
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Frequency Enhancement for Image DemosaickingCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Generative Model-Assisted Demosaicing for Cross-multispectral Cameras—0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution—0
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging—0
Combining Pre- and Post-Demosaicking Noise Removal for RAW Video—0
Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel CorrelationCode0
How to Best Combine Demosaicing and Denoising?—0
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