This software is the matlab re-implementation version of the algorithm in the CVPR11&TCYB13 paper.
Please run the demo code "demo_IntrinsicImages", which contains both the automatic
method and approach by user brushes for intrinsic images.
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If you are using this code in your publication, please cite our papers, Thanks.
1) J. B. Shen, X. S. Yang, Y. D. Jia, X. L. Li. Intrinsic images using optimization. 
   IEEE CVPR, pp. 3481-3487, 2011
2) J. B. Shen, X. S. Yang, X. L. Li, Y. D. Jia. Intrinsic images decomposition using optimization 
   and user scribbles. IEEE Transactions on Cybernetics, 43(2):425-436,  2013
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Note that all the experimental results in the above papers are based on the
original c++/opencv implementation, and we are currently not allowed to 
distribute that original fast c++ version.
Any further questions, please send email to: 
shenjianbing@bit.edu.cn   or    shenjianbingcg@sina.com

https://github.com/shenjianbing/intrinsic11
http://cs.bit.edu.cn/shenjianbing/cvpr11.htm