Improving recto document side restoration with an estimation of the verso side from a singled scanned page

Christian Wolf 1, 2
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We present a new method for blind document bleed through removal based on separately restoring the recto and the verso side. The segmentation algorithm is based on separate Markov random fields (MRF) which results in a better adaptation of the prior to the content creation process (e.g. superimposing two pages), and the improvement of the estimation of the verso pixels through an estimation of the verso pixels covered by recto pixels. The labels of the initial recto and verso clusters are recognized without using any color or gray value information. The proposed method is evaluated on synthetic images as well as scanned documents.
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01501272
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Submitted on : Tuesday, April 4, 2017 - 9:42:41 AM
Last modification on : Tuesday, February 26, 2019 - 4:35:37 PM

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  • HAL Id : hal-01501272, version 1

Citation

Christian Wolf. Improving recto document side restoration with an estimation of the verso side from a singled scanned page. International Conference on Pattern Recognition, Dec 2008, Tampa, United States. pp.1-4. ⟨hal-01501272⟩

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