Paper
29 January 2007 Degraded document image enhancement
G. Agam, G. Bal, G. Frieder, O. Frieder
Author Affiliations +
Proceedings Volume 6500, Document Recognition and Retrieval XIV; 65000C (2007) https://doi.org/10.1117/12.706484
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Poor quality documents are obtained in various situations such as historical document collections, legal archives, security investigations, and documents found in clandestine locations. Such documents are often scanned for automated analysis, further processing, and archiving. Due to the nature of such documents, degraded document images are often hard to read, have low contrast, and are corrupted by various artifacts. We describe a novel approach for the enhancement of such documents based on probabilistic models which increases the contrast, and thus, readability of such documents under various degradations. The enhancement produced by the proposed approach can be viewed under different viewing conditions if desired. The proposed approach was evaluated qualitatively and compared to standard enhancement techniques on a subset of historical documents obtained from the Yad Vashem Holocaust museum. In addition, quantitative performance was evaluated based on synthetically generated data corrupted under various degradation models. Preliminary results demonstrate the effectiveness of the proposed approach.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Agam, G. Bal, G. Frieder, and O. Frieder "Degraded document image enhancement", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 65000C (29 January 2007); https://doi.org/10.1117/12.706484
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Image enhancement

Expectation maximization algorithms

Image segmentation

Image processing algorithms and systems

Control systems

Image processing

Image quality

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