This is an implementation of non-Deep Learning demosaicing algorithm in OpenCV (C++)
- Smooth-hue Interpolation
- Laplacian-corrected Linear Filter
- Gradient-Based Threshold-Free (GBTF)
- Residual interpolation (RI)
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Bayer
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OpenCV
- https://github.com/opencv/opencv/blob/master/modules/imgproc/src/demosaicing.cpp
- Bilinear
- Edge-Aware
- Variable Number of Gradients
- https://github.com/opencv/opencv/blob/master/modules/imgproc/src/demosaicing.cpp
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Matlab
- High quality linear interpolation for demosaicing of Bayer-patterned color images (2004)
- https://www.mathworks.com/help/images/ref/demosaic.html
- https://www.ipol.im/pub/art/2011/g_mhcd/article.pdf (review)
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Bilinear interpolation
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Smooth-hue Interpolation
- Demosaicking methods for Bayer color arrays (2002)
- https://pdfs.semanticscholar.org/28c8/99ab34b6dd91d10474b5635eec6a97b8e3fa.pdf
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Laplacian-corrected Linear Filter
- Same as above Matlab default demosaicing algorithm
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Gradient-Based Threshold-Free (GBTF)
- Gradient-Based Threshold-Free Color Filter Array Interpolation (2010)
- https://ieeexplore.ieee.org/document/5654327
- https://github.com/RayXie29/GBTF_Color_Interpolation (other's implementation)
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Residual interpolation (RI)
- Residual interpolation for color image demosaicking (2013)
- http://www.ok.sc.e.titech.ac.jp/res/DM/RI.pdf
- include Guided Image Filtering (2010)
- http://kaiminghe.com/eccv10/