Enhanced Bleed Through Removal Using Normalized Picture Information Based Measures
Mahaldar, Sahil; Banerjee, Serene
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  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)  and Otsu's binarization method , 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.
External Posting Date: July 21, 2009 [Fulltext]. Approved for External Publication
Internal Posting Date: July 21, 2009 [Fulltext]