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An introduction to digital image processing
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The article was published on 1986-01-01 and is currently open access. It has received 1745 citations till now. The article focuses on the topics: Digital image processing & Image processing.read more
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Proceedings ArticleDOI
Improving the quality of degraded document images
TL;DR: Evaluation results based on a collection of historical document images indicate that the proposed approach is effective in removing background noise and improving the quality of degraded documents while documents already in good condition are not affected.
Proceedings ArticleDOI
Rectifying the bound document image captured by the camera: a model based approach
TL;DR: A model based approach for rectifying the camera image of the bound document has been developed, i.e., the surface of the document is represented by a general cylindrical surface and the principle of using the model to unwrap the image is discussed.
Proceedings ArticleDOI
Combination of Document Image Binarization Techniques
Bolan Su,Shijian Lu,Chew Lim Tan +2 more
TL;DR: A classification framework to combine different thresholding methods and produce better performance for document image binarization, which outperforms most state-of-the-art methods significantly.
Proceedings ArticleDOI
Binarization of low quality text using a Markov random field model
Christian Wolf,David Doermann +1 more
TL;DR: A new technique based on a Markov random field model of the document and the model parameters (clique potentials) are learned from training data and the binary image is estimated in a Bayesian framework is introduced.
Journal ArticleDOI
Improvement of “integrated function algorithm” for binarization of document images
O.D. Trier,Torfinn Taxt +1 more
TL;DR: The integrated function Algorithm for binarization of gray level document images is improved by smoothing, a new print pixel identification strategy, and a postprocessing step removing false print objects.
Related Papers (5)
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more