A Variational Approach to Degraded Document Enhancement

The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according to the availability of the verso side of the document image. Furthermore, for the latter case, a more advanced model based o...

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Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. 32; no. 8; pp. 1347 - 1361
Main Authors Moghaddam, Reza Farrahi, Cheriet, Mohamed
Format Journal Article
LanguageEnglish
Published Los Alamitos, CA IEEE 01.08.2010
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Aging
Applied sciences
Artificial intelligence
Availability
Background noise
bleed-through effect
Computer science; control theory; systems
Degradation
Diffusion
Diffusion processes
document enhancement
Exact sciences and technology
Image processing
Ink
Intelligence
Noise robustness
Optical character recognition software
Optical distortion
Optical noise
Pattern analysis
Pattern recognition. Digital image processing. Computational geometry
PDE-based image processing
Variational framework
Availability
Variational framework
Image processing
PDE-based image processing
Step method
bleed-through effect
Background noise
Modeling
Document processing
Wavelet transformation
Diffusion process
Variational calculus
Pattern analysis
Artificial intelligence
document enhancement
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Summary:The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according to the availability of the verso side of the document image. Furthermore, for the latter case, a more advanced model based on a global control, the flow field, is introduced. The solution of each resulting model is obtained using wavelet shrinkage or a time-stepping scheme, depending on the complexity and nonlinearity of the models. When both sides of the document are available, the proposed model uses the reverse diffusion process for the enhancement of double-sided document images. The results of experiments with real and synthesized samples are promising. The proposed model, which is robust with respect to noise and complex background, can also be applied to other fields of image processing.
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ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.2009.141