De-blurring Textual Document Images

Document images may exhibit some blurred areas due to a wide number of reasons ranging from digitalization, filtering or even storage problems. Most de-blurring algorithms are hard to implement, slow, and often try to be general, attempting to remove the blur in any kind of image. In the case of tex...

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Bibliographic Details
Published inGraphics Recognition. New Trends and Challenges pp. 238 - 250
Main Authors Oliveira, Daniel M., Lins, Rafael Dueire, Silva, Gabriel P., Fan, Jian, Thielo, Marcelo
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2013
SeriesLecture Notes in Computer Science
Subjects
blur
camera documents
De-blurring
scanner documents
Online AccessGet full text
ISBN9783642368233
3642368239
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-36824-0_23

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Summary:Document images may exhibit some blurred areas due to a wide number of reasons ranging from digitalization, filtering or even storage problems. Most de-blurring algorithms are hard to implement, slow, and often try to be general, attempting to remove the blur in any kind of image. In the case of text document images, the transition between characters and the paper background has a high contrast. With that in mind, a new algorithm is proposed for de-blurring of textual documents; there is no need to estimate the PSF and the filter proposed can be directed applied to the image. The presented algorithm reached an improvement rate of 17.08% in the SSIM metric.
ISBN:9783642368233
3642368239
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-36824-0_23