Geometric Precision in Noise-Free Digital Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characterization of image degradation caused by scanning
Pattern Recognition Letters
Digital Document Processing
Scanner Parameter Estimation Using Bilevel Scans of Star Charts
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Evaluating glyph binarizations based on their properties
Proceedings of the 2013 ACM symposium on Document engineering
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A degradation model that describes many image degradations produced by desktop scanning is used to study the edge noise that is present in bilevel document images. The standard deviation of the additive noise does not adequately describe the noise present after the image is converted to a bilevel image. A measure of noise called Noise Spread is developed which describes the edge noise and is a function of the scanner parameters. If phase effects are removed this Noise Spread quantity is directly proportional to the expected value of the Hamming distance between scans with and without edge noise. The Noise Spread has also been correlated with the ability to accurately estimate edge locations. A simple method to estimate this quantity is proposed.