DocumentCode
3486018
Title
Show-Through Cancellation and Image Enhancement by Multiresolution Contrast Processing
Author
Fornes, Alicia ; Otazu, Xavier ; Llados, Josep
Author_Institution
Dept. of Comput. Sci., Univ. Autonoma de Barcelona, Bellaterra, Spain
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
200
Lastpage
204
Abstract
Historical documents suffer from different types of degradation and noise such as background variation, uneven illumination or dark spots. In case of double-sided documents, another common problem is that the back side of the document usually interferes with the front side because of the transparency of the document or ink bleeding. This effect is called the show through phenomenon. Many methods are developed to solve these problems, and in the case of show-through, by scanning and matching both the front and back sides of the document. In contrast, our approach is designed to use only one side of the scanned document. We hypothesize that show-trough are low contrast components, while foreground components are high contrast ones. A Multiresolution Contrast (MC) decomposition is presented in order to estimate the contrast of features at different spatial scales. We cancel the show-through phenomenon by thresholding these low contrast components. This decomposition is also able to enhance the image removing shadowed areas by weighting spatial scales. Results show that the enhanced images improve the readability of the documents, allowing scholars both to recover unreadable words and to solve ambiguities.
Keywords
document image processing; image enhancement; image resolution; image segmentation; background variation; dark spots; double-sided documents; foreground components; historical documents; image enhancement; image thresholding; low contrast components; multiresolution contrast processing; show-through cancellation; spatial scales; uneven illumination; Image color analysis; Image enhancement; Image restoration; Noise; Spatial resolution; Text analysis; Document Image Enhancement; Historical Documents; Show-Through Removal;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location
Washington, DC
ISSN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2013.47
Filename
6628612
Link To Document