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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 71–80 of 150 papers

TitleStatusHype
Hy-demosaicing: Hyperspectral blind reconstruction from spectral subsamplingCode0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image SensorCode1
Learning to Jointly Deblur, Demosaick and Denoise Raw Images—0
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal ProcessingCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
Pre-demosaic Graph-based Light Field Image Compression—0
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst ImagesCode1
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