Edge Noise in Document Images

Craig McGillivary; Chris Hale; Elisa H. Barney Smith

Edge Noise in Document Images

Craig McGillivary, Chris Hale, Elisa H. Barney Smith

Electrical Engineering Department

Boise State University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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Abstract

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.

Original language	American English
Journal	AND '09 Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
State	Published - 1 Jan 2009

Keywords

edge noise
hamming distance
image degradations

EGS Disciplines

Electrical and Computer Engineering

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Edge Noise in Document ImagesFinal published version, 4.9 MBLicense: Unspecified

http://dx.doi.org/10.1145/1568296.1568302

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title = "Edge Noise in Document Images",

abstract = " 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.",

keywords = "edge noise, hamming distance, image degradations",

author = "Craig McGillivary and Chris Hale and {Barney Smith}, {Elisa H.}",

note = "McGillivary, Craig; Hale, Chris; and Barney Smith, Elisa H. (2009). {"}Edge Noise in Document Images{"}. In AND '09 Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data (pp. 17-24). Association for Computing Machinery. https://doi.org/10.1145/1568296.1568302",

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AU - Hale, Chris

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N1 - McGillivary, Craig; Hale, Chris; and Barney Smith, Elisa H. (2009). "Edge Noise in Document Images". In AND '09 Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data (pp. 17-24). Association for Computing Machinery. https://doi.org/10.1145/1568296.1568302

PY - 2009/1/1

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N2 - 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.

AB - 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.

KW - edge noise

KW - hamming distance

KW - image degradations

UR - https://scholarworks.boisestate.edu/electrical_facpubs/110

M3 - Article

JO - AND '09 Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data

JF - AND '09 Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data

ER -

Edge Noise in Document Images

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Keywords

EGS Disciplines

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