A Non-Parametric Framework for Document Bleed-Through Removal

This paper presents recent work on a new framework for non-blind document bleed-through removal. The frame-work includes image preprocessing to remove local inten-sity variations, pixel region classification based on a seg-mentation of the joint recto-verso intensity histogram and connected component analysis on the subsequent image la-belling. Finally restoration of the degraded regions is per-formed using exemplar-based image inpainting. The pro-posed method is evaluated visually and numerically on a freely available database of 25 scanned manuscript image pairs with ground truth, and is shown to outperform recent non-blind bleed-through removal techniques. 1