Degraded Document Bleed-Through Removal

Author

Rowley-Brooke, Roisin ; Kokaram, Anil

Author_Institution

Dept. of Electron. & Electr. Eng., Trinity Coll., Dublin, Ireland

fYear

2011

fDate

7-9 Sept. 2011

Firstpage

70

Lastpage

75

Abstract

This paper presents a Bayesian approach for bleed-through reduction in degraded document images based on a simple linear degradation model. A variation of ICM optimisation is used whereby samples are drawn for the bleed-through reduced images, whilst the remaining variables are estimated via the mode of their conditional probabilities. The proposed method is tested on various samples of scanned manuscript images with different degrees of degradation, and the results show some convincing removal of bleed-through.

Keywords

Bayes methods; document image processing; optimisation; Bayesian approach; ICM optimisation; bleed-through reduced images; conditional probability mode; degradation degrees; degraded document image bleed-through removal; linear degradation model; scanned manuscript images; variable estimation; Bayesian methods; Degradation; Estimation; Hidden Markov models; Image restoration; Interference; Noise; mobile mapping system; stereo camera calibration; wide field of view;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing Conference (IMVIP), 2011 Irish

Conference_Location

Dublin

Print_ISBN

978-1-4673-0230-2

Type

conf

DOI

10.1109/IMVIP.2011.21

Filename

6167883