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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
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration—0
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction—0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
Hy-demosaicing: Hyperspectral blind reconstruction from spectral subsamplingCode0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Learning to Jointly Deblur, Demosaick and Denoise Raw Images—0
Pre-demosaic Graph-based Light Field Image Compression—0
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty—0
Projected Distribution Loss for Image EnhancementCode0
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