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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 91–100 of 150 papers

TitleStatusHype
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
Learning to Sample the Most Useful Training Patches from Images—0
Joint Demosaicking and Denoising Benefits from a Two-stage Training Strategy—0
Monochrome and Color Polarization Demosaicking Using Edge-Aware Residual Interpolation—0
A Review of an Old Dilemma: Demosaicking First, or Denoising First?—0
Moire Image Restoration using Multi Level Hyper Vision NetCode0
Gradient-based Feature Extraction From Raw Bayer Pattern Images—0
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor—0
Neural Network Generalization: The impact of camera parameters—0
CURL: Neural Curve Layers for Global Image EnhancementCode0
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