Faxed image restoration using Kalman filtering

Myoung Young Yoon; Seong Whan Lee; Ju Sung Kim

doi:10.1109/ICDAR.1995.601987

Faxed image restoration using Kalman filtering

Myoung Young Yoon, Seong Whan Lee, Ju Sung Kim

Department of Brain and Cognitive Engineering

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

8 Citations (Scopus)

Abstract

We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: Modeling and the restoration algorithm. First, a model of a faxed image is presented. The model is based on an autoregressive Gauss-Markov random field and includes vertical and horizontal overlap effects. In particular, we concentrate on the nonsymmetric half plane causality. Second, the restoration of faxed images degraded by salient noise and additive white noise is considered by 2D Kalman filtering which provides an efficient recursive procedure. In order to illustrate the effectiveness of the proposed scheme, we present experimental results on the restoration of a faxed image.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Publisher	IEEE Computer Society
Pages	677-680
Number of pages	4
ISBN (Electronic)	0818671289
DOIs	https://doi.org/10.1109/ICDAR.1995.601987
Publication status	Published - 1995 Jan 1
Event	3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada Duration: 1995 Aug 14 → 1995 Aug 16

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2
ISSN (Print)	1520-5363

Conference

Conference	3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country	Canada
City	Montreal
Period	95/8/14 → 95/8/16

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICDAR.1995.601987

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Yoon, M. Y., Lee, S. W., & Kim, J. S. (1995). Faxed image restoration using Kalman filtering. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 (pp. 677-680). [601987] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1995.601987

Faxed image restoration using Kalman filtering. / Yoon, Myoung Young; Lee, Seong Whan; Kim, Ju Sung.

Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society, 1995. p. 677-680 601987 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2).

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

Yoon, MY, Lee, SW & Kim, JS 1995, Faxed image restoration using Kalman filtering. in Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995., 601987, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2, IEEE Computer Society, pp. 677-680, 3rd International Conference on Document Analysis and Recognition, ICDAR 1995, Montreal, Canada, 95/8/14. https://doi.org/10.1109/ICDAR.1995.601987

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abstract = "We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: Modeling and the restoration algorithm. First, a model of a faxed image is presented. The model is based on an autoregressive Gauss-Markov random field and includes vertical and horizontal overlap effects. In particular, we concentrate on the nonsymmetric half plane causality. Second, the restoration of faxed images degraded by salient noise and additive white noise is considered by 2D Kalman filtering which provides an efficient recursive procedure. In order to illustrate the effectiveness of the proposed scheme, we present experimental results on the restoration of a faxed image.",

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AB - We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: Modeling and the restoration algorithm. First, a model of a faxed image is presented. The model is based on an autoregressive Gauss-Markov random field and includes vertical and horizontal overlap effects. In particular, we concentrate on the nonsymmetric half plane causality. Second, the restoration of faxed images degraded by salient noise and additive white noise is considered by 2D Kalman filtering which provides an efficient recursive procedure. In order to illustrate the effectiveness of the proposed scheme, we present experimental results on the restoration of a faxed image.

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Faxed image restoration using Kalman filtering

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