Relating Statistical Image Differences and Degradation Features

Elisa Barney Smith; Xiaohui Qiu

doi:10.1007/3-540-45869-7_1

Relating Statistical Image Differences and Degradation Features

Elisa Barney Smith
, Xiaohui Qiu

Electrical Engineering Department

Nanjing University of Post and Telecommunication

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

8 Downloads (Pure)

Abstract

Document images are degraded through bilevel processes such as scanning, printing, and photocopying. The resulting image degradations can be categorized based either on observable degradation features or on degradation model parameters. The degradation features can be related mathematically to model parameters. In this paper we statistically compare pairs of populations of degraded character images created with different model parameters. The changes in the probability that the characters are from different populations when the model parameters vary correlate with the relationship between observable degradation features and the model parameters. The paper also shows which features have the largest impact on the image.

Original language	American English
Title of host publication	Document Analysis Systems V
Subtitle of host publication	5th International Workshop, DAS 2002, Princeton, NJ, USA, August 19-21, 2002. Proceedings
Editors	Daniel Lopresti, Jianying Hu, Ramanujan Kashi
Place of Publication	Berlin, Germany
Publisher	Springer
Chapter	1
Pages	1-12
Number of pages	12
ISBN (Electronic)	978-3-540-45869-2
ISBN (Print)	978-3-540-44068-0
DOIs	https://doi.org/10.1007/3-540-45869-7_1
State	Published - 2002

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	2423
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Point Spread Function
Document Image
Degradation Model
Image Degradation
Degradation Feature

EGS Disciplines

Electrical and Computer Engineering

Access to Document

10.1007/3-540-45869-7_1License: Unspecified

https://scholarworks.boisestate.edu/electrical_facpubs/173/License: Other

Cite this

Barney Smith, E., & Qiu, X. (2002). Relating Statistical Image Differences and Degradation Features. In D. Lopresti, J. Hu, & R. Kashi (Eds.), Document Analysis Systems V: 5th International Workshop, DAS 2002, Princeton, NJ, USA, August 19-21, 2002. Proceedings (pp. 1-12). (Lecture Notes in Computer Science; Vol. 2423). Springer. https://doi.org/10.1007/3-540-45869-7_1

@inproceedings{a2cd1c57984c4fd2b25aae12c2be710e,

title = "Relating Statistical Image Differences and Degradation Features",

abstract = " Document images are degraded through bilevel processes such as scanning, printing, and photocopying. The resulting image degradations can be categorized based either on observable degradation features or on degradation model parameters. The degradation features can be related mathematically to model parameters. In this paper we statistically compare pairs of populations of degraded character images created with different model parameters. The changes in the probability that the characters are from different populations when the model parameters vary correlate with the relationship between observable degradation features and the model parameters. The paper also shows which features have the largest impact on the image.",

keywords = "Point Spread Function, Document Image, Degradation Model, Image Degradation, Degradation Feature",

author = "\{Barney Smith\}, Elisa and Xiaohui Qiu",

note = "{\textcopyright} 2002 Springer-Verlag Berlin Heidelberg",

year = "2002",

doi = "10.1007/3-540-45869-7\_1",

language = "American English",

isbn = "978-3-540-44068-0",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "1--12",

editor = "Daniel Lopresti and Jianying Hu and Ramanujan Kashi",

booktitle = "Document Analysis Systems V",

address = "Germany",

}

Barney Smith, E & Qiu, X 2002, Relating Statistical Image Differences and Degradation Features. in D Lopresti, J Hu & R Kashi (eds), Document Analysis Systems V: 5th International Workshop, DAS 2002, Princeton, NJ, USA, August 19-21, 2002. Proceedings. Lecture Notes in Computer Science, vol. 2423, Springer, Berlin, Germany, pp. 1-12. https://doi.org/10.1007/3-540-45869-7_1

Relating Statistical Image Differences and Degradation Features. / Barney Smith, Elisa; Qiu, Xiaohui.
Document Analysis Systems V: 5th International Workshop, DAS 2002, Princeton, NJ, USA, August 19-21, 2002. Proceedings. ed. / Daniel Lopresti; Jianying Hu; Ramanujan Kashi. Berlin, Germany: Springer, 2002. p. 1-12 (Lecture Notes in Computer Science; Vol. 2423).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Relating Statistical Image Differences and Degradation Features

AU - Barney Smith, Elisa

AU - Qiu, Xiaohui

PY - 2002

Y1 - 2002

N2 - Document images are degraded through bilevel processes such as scanning, printing, and photocopying. The resulting image degradations can be categorized based either on observable degradation features or on degradation model parameters. The degradation features can be related mathematically to model parameters. In this paper we statistically compare pairs of populations of degraded character images created with different model parameters. The changes in the probability that the characters are from different populations when the model parameters vary correlate with the relationship between observable degradation features and the model parameters. The paper also shows which features have the largest impact on the image.

AB - Document images are degraded through bilevel processes such as scanning, printing, and photocopying. The resulting image degradations can be categorized based either on observable degradation features or on degradation model parameters. The degradation features can be related mathematically to model parameters. In this paper we statistically compare pairs of populations of degraded character images created with different model parameters. The changes in the probability that the characters are from different populations when the model parameters vary correlate with the relationship between observable degradation features and the model parameters. The paper also shows which features have the largest impact on the image.

KW - Point Spread Function

KW - Document Image

KW - Degradation Model

KW - Image Degradation

KW - Degradation Feature

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U2 - 10.1007/3-540-45869-7_1

DO - 10.1007/3-540-45869-7_1

M3 - Conference contribution

SN - 978-3-540-44068-0

T3 - Lecture Notes in Computer Science

SP - 1

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Barney Smith E, Qiu X. Relating Statistical Image Differences and Degradation Features. In Lopresti D, Hu J, Kashi R, editors, Document Analysis Systems V: 5th International Workshop, DAS 2002, Princeton, NJ, USA, August 19-21, 2002. Proceedings. Berlin, Germany: Springer. 2002. p. 1-12. (Lecture Notes in Computer Science). Epub 2002 Aug 1. doi: 10.1007/3-540-45869-7_1

Relating Statistical Image Differences and Degradation Features

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