The new color demosaicking (CDM) and color
image processing dataset, McMaster dataset, is now available:
Download it
here: McMaster Dataset |
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Password to
unzip: McM_CDM |
Please cite our following paper when you use
this dataset:
L. Zhang, X. Wu, A. Buades, and X. Li,
"Color Demosaicking by Local Directional Interpolation and Non-local
Adaptive Thresholding," Journal of
Electronic Imaging 20(2), 023016 (Apr-Jun 2011), DOI:10.1117/1.3600632. (paper)
Source code: download
here |
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The code is not optimized so that it runs a little slow.
My other related works:
[1]
L.
Zhang and X. Wu, "Color demosaicking via directional linear minimum
mean square-error estimation," IEEE Trans. on Image Processing, vol. 14, pp. 2167-2178, Dec. 2005. (paper, matlab code)
[2]
L.
Zhang, R. Lukac, X. Wu, and D.
Zhang, "PCA-based Spatially Adaptive Denoising of CFA Images
for Single-Sensor Digital Cameras," IEEE
Trans. on Image Processing, vol. 18, no. 4, pp. 797-812, April 2009. (paper, matlab code,
website)
[3]
L. Zhang, W. Dong, X. Wu, and G. Shi, "Spatial-Temporal Color Video Reconstruction from Noisy CFA
Sequence," IEEE Trans. on
Circuits and Systems for Video Technology, vol.
20, no. 6, pp. 838-847, June 2010. (paper, website)
[4]
L. Zhang, W. Dong, D. Zhang, and G.
Shi, "Two-stage Image Denoising by Principal Component Analysis with Local
Pixel Grouping," Pattern
Recognition, vol. 43, issue 4, pp.
1531-1549, April 2010. (paper, matlab code, website)
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