Technical Reports


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Enhanced Bleed Through Removal Using Normalized Picture Information Based Measures

Mahaldar, Sahil; Banerjee, Serene
HP Laboratories


Keyword(s): bleed through, document cleanup

Abstract: Back-to-front interference is a common problem in documents, printed on translucent pages with insufficient opacity and is referred to as bleed through. The present state-of-art algorithms address bleed through based on entropy [1-3], entropic correlation [4] and discriminator analysis [5,10]. However, a common drawback of such algorithms is their inefficient processing of documents that are either sparse in terms of content or have a very dark background. Our proposed algorithm, based on Normalized Picture Information Measure (NPIM) [6] and Otsu's binarization method [5], addresses these problems. Experiments on 111 test images indicates that our algorithm performs comparable to state-of- the-art on 106 images and for the remaining 5 low contrast images our algorithm is able to remove bleed through whereas the state-of-the-art algorithms fail.

6 Pages

External Posting Date: July 21, 2009 [Fulltext]. Approved for External Publication
Internal Posting Date: July 21, 2009 [Fulltext]

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