Using Non-Negative Matrix Factorization for Removing Show-Through

Scanning process usually degrades digital documents due to the contents of the backside of the scanned manuscript. This is often because of the show-through effect, i.e. the backside image that interferes with the main front side picture mainly due to the intrinsic transparency of the paper used for printing or writing. In this paper, we first use one of Non-negative Matrix Factorization (NMF) methods for canceling show-through phenomenon. Then, nonlinearity of show-through effect is included by changing the cost function used in this method. Simulation results show that this proposed algorithm can remove show-through effectively.

[1]  Luís B. Almeida,et al.  Separating a Real-Life Nonlinear Image Mixture , 2005, J. Mach. Learn. Res..

[2]  Andreas Dengel,et al.  Document Analysis Systems VI , 2004, Lecture Notes in Computer Science.

[3]  Anna Tonazzini,et al.  Bleed-Through Removal from Degraded Documents Using a Color Decorrelation Method , 2004, Document Analysis Systems.

[4]  Gaurav Sharma Cancellation of show-through in duplex scanning , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[5]  Boaz Ophir,et al.  Show-Through Cancellation in Scanned Images using Blind Source Separation Techniques , 2007, 2007 IEEE International Conference on Image Processing.

[6]  Chih-Jen Lin,et al.  Projected Gradient Methods for Nonnegative Matrix Factorization , 2007, Neural Computation.

[7]  Anna Tonazzini,et al.  Registration and Enhancement of Double-Sided Degraded Manuscripts Acquired in Multispectral Modality , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[8]  Farnood Merrikh-Bayat,et al.  A nonlinear blind source separation solution for removing the show-through effect in the scanned documents , 2008, 2008 16th European Signal Processing Conference.

[9]  Anna Tonazzini,et al.  Fast correction of bleed-through distortion in grayscale documents by a blind source separation technique , 2007, International Journal of Document Analysis and Recognition (IJDAR).

[10]  Hirobumi Nishida,et al.  A multiscale approach to restoring scanned color document images with show-through effects , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[11]  Chew Lim Tan,et al.  Matching of double-sided document images to remove interference , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[12]  Mariana S. C. Almeida,et al.  Separating Nonlinear Image Mixtures using a Physical Model Trained with ICA , 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

[13]  R. Plemmons,et al.  Optimality, computation, and interpretation of nonnegative matrix factorizations , 2004 .

[14]  Luís B. Almeida,et al.  Wavelet-based separation of nonlinear show-through and bleed-through image mixtures , 2008, Neurocomputing.