A novel model for show-through in scan of duplex printed documents

In scan of duplex printed documents, show-through is a phenomenon where the printing of the opposite side “shows through” and contaminates the data of the scanning side. Despite the efforts of prior works to model and correct the show-through effect, an accurate mathematical model based on rigorous analysis of the show-through phenomenon is yet to be reported in the literature. In this paper, we present a detailed analysis of the phenomenon and derive a physics-based novel mathematical model for the show-through effect. We follow a probabilistic approach to explain the scattering of photons in the scanning setup of document-backing system. The show-through model, i.e., the relationship between the reflectances of the two sides of the printed document is then derived using the various components of the photon fluxes emerging from those sides. The model is validated using practical show-through data. Finally, the effectiveness of our model is tested by applying it to show-through correction. The results of experimental tests demonstrate superior performance of our model and algorithm when compared to a well-cited work reported in the literature.

[1]  Gaurav Sharma,et al.  Show-through cancellation in scans of duplex printed documents , 2001, IEEE Trans. Image Process..

[2]  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.

[3]  D. Malah,et al.  Improved cross-talk cancellation in scanned images by adaptive decorrelation , 2004, 2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel.

[4]  Qi Tian,et al.  Algorithms for subpixel registration , 1986 .

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

[7]  F. R. Ruckdeschel,et al.  Yule-Nielsen effect in printing: a physical analysis. , 1978, Applied optics.

[8]  J. Besag On the Statistical Analysis of Dirty Pictures , 1986 .

[9]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[10]  Hafiz Imtiaz,et al.  Show-through correction in scanned images using joint histogram , 2010, Signal Image Video Process..

[11]  Yannick Deville,et al.  Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture , 2004, ICA.

[12]  M. Maltz Light scattering in xerographic images , 1983 .

[13]  Li Yang,et al.  Light Scattering and Ink Penetration Effects on Tone Reproduction , 2000, PICS.

[14]  Michael S. Brown,et al.  Accurate Alignment of Double-Sided Manuscripts for Bleed-Through Removal , 2008, 2008 The Eighth IAPR International Workshop on Document Analysis Systems.