TY - GEN
T1 - Direct robust non-negative matrix factorization and its application on image processing
AU - Shen, Bin
AU - Datbayev, Zhanibek
AU - Makhambetov, Olzhas
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In real applications of image processing, we frequently face outliers, which cannot be simply treated as Gaussian noise. Nonnegative Matrix Factorization (NMF) is a popular method in image processing for its good performance and elegant theoretical interpretation, however, traditional NMF is not robust enough to outliers. To robustify NMF algorithm, here we present Direct Robust Nonnegative Matrix Factorization (DRNMF) for image denoising based on the assumptions that the ground truth data is of low rank and the outliers are sparse. This method explictly models the outliers in the data, and the sparsity of the outliers is controlled by L0 norm. The experiments show that DRNMF can accurately localize the outliers, and outperforms traditional NMF in image denoising.
AB - In real applications of image processing, we frequently face outliers, which cannot be simply treated as Gaussian noise. Nonnegative Matrix Factorization (NMF) is a popular method in image processing for its good performance and elegant theoretical interpretation, however, traditional NMF is not robust enough to outliers. To robustify NMF algorithm, here we present Direct Robust Nonnegative Matrix Factorization (DRNMF) for image denoising based on the assumptions that the ground truth data is of low rank and the outliers are sparse. This method explictly models the outliers in the data, and the sparsity of the outliers is controlled by L0 norm. The experiments show that DRNMF can accurately localize the outliers, and outperforms traditional NMF in image denoising.
KW - NMF
KW - Outlier removal
KW - image denoising
KW - nonnegative representation
KW - robust NMF
KW - sparse error
UR - http://www.scopus.com/inward/record.url?scp=84872871874&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872871874&partnerID=8YFLogxK
U2 - 10.1109/ICAICT.2012.6398485
DO - 10.1109/ICAICT.2012.6398485
M3 - Conference contribution
AN - SCOPUS:84872871874
SN - 9781467317405
T3 - 2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings
BT - 2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings
T2 - 2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012
Y2 - 17 October 2012 through 19 October 2012
ER -