PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Salerno E., Tonazzini A., Bianco G. Digital restoration of historical documents by diversity techniques and statistical processing. In: SIMAI 9th Congress (Roma, 15-19 September 2008). Abstract, p. 23. SIMAI-Societ Italiana di Matematica Applicata, e SIAM Society for Industrial and Applied Mathematics, USA. SIMAI, 2008.
 
 
Abstract
(English)
Using spectral or spatial diversity associated with statistical processing has been proved useful to restore degraded texts in historical documents. By linear independent component analysis, we have been able to separate the main text from interfering patterns or hidden features in color or multispectral document images, and to cancel the showthrough-bleedthrough distortion from suitably registered graylevel recto-verso document images. By applying the same principles to RGB recto-verso images, we have now demonstrated that the recto and verso patterns can be separated as in the graylevel case, and their original colors can be reconstructed. Some examples from real documents will be shown.
Subject Image Restoration
Blind Source separation
Statistical image processing
I.4.4 Restoration


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