Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patcog.2010.12.019
Title: Visual enhancement of old documents with hyperspectral imaging
Authors: Joo Kim, S. 
Deng, F.
Brown, M.S. 
Keywords: Document processing and analysis
Hyperspectral imaging
Image fusion
Issue Date: 2011
Source: Joo Kim, S.,Deng, F.,Brown, M.S. (2011). Visual enhancement of old documents with hyperspectral imaging. Pattern Recognition 44 (7) : 1461-1469. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2010.12.019
Abstract: Hyperspectral imaging (HSI) of historical documents is becoming more common at national libraries and archives. HSI is useful for many tasks related to document conservation and management as it provides detailed quantitative measurements of the spectral reflectance of the document that is not limited to the visible spectrum. In this paper, we focus on how to use the invisible spectra, most notably near-infrared (NIR) bands, to assist in visually enhancing old documents. Specifically, we demonstrate how to use the invisible bands to improve the visual quality of text-based documents corrupted with undesired artifacts such as ink-bleed, ink-corrosion, and foxing. For documents of line drawings that suffer from low contrast, we use details found in the invisible bands to enhance legibility. The key components of our framework involve detecting regions in the document that can be enhanced by the NIR spectra, compositing the enhanced gradient map using the NIR bands, and reconstructing the final image from the composited gradients. This work is part of a collaborative effort with the Nationaal Archief of the Netherlands (NAN) and Art Innovation, a manufacturer of hyperspectral imaging hardware designed specially for historical documents. Our approach is evaluated on historical documents from NAN that exhibit degradations common to documents found in most archives and libraries. © 2011 Elsevier Ltd. All rights reserved.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/39550
ISSN: 00313203
DOI: 10.1016/j.patcog.2010.12.019
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

41
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

28
checked on Oct 31, 2017

Page view(s)

90
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.