Restoration of images degraded by mechanical vibrations

O. Hadar; Z. Adar; A. Cotter; Y. Yitzhaky; N. S. Kopeika

doi:10.1109/ICPR.1994.577139

Restoration of images degraded by mechanical vibrations

O. Hadar, Z. Adar, A. Cotter, Y. Yitzhaky, N. S. Kopeika

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

Abstract

A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring dreiving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.

Original language	English
Title of host publication	Proceedings - International Conference on Pattern Recognition
Publisher	Institute of Electrical and Electronics Engineers
Pages	137-139
Number of pages	3
ISBN (Electronic)	0818662751
DOIs	https://doi.org/10.1109/ICPR.1994.577139
State	Published - 1 Jan 1994
Event	12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994 - Jerusalem, Israel Duration: 9 Oct 1994 → 13 Oct 1994

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	3
ISSN (Print)	1051-4651

Conference

Conference	12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994
Country/Territory	Israel
City	Jerusalem
Period	9/10/94 → 13/10/94

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICPR.1994.577139

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Hadar, O., Adar, Z., Cotter, A., Yitzhaky, Y., & Kopeika, N. S. (1994). Restoration of images degraded by mechanical vibrations. In Proceedings - International Conference on Pattern Recognition (pp. 137-139). (Proceedings - International Conference on Pattern Recognition; Vol. 3). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPR.1994.577139

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title = "Restoration of images degraded by mechanical vibrations",

abstract = "A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring dreiving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.",

author = "O. Hadar and Z. Adar and A. Cotter and Y. Yitzhaky and Kopeika, {N. S.}",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994 ; Conference date: 09-10-1994 Through 13-10-1994",

year = "1994",

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doi = "10.1109/ICPR.1994.577139",

language = "English",

series = "Proceedings - International Conference on Pattern Recognition",

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Hadar, O, Adar, Z, Cotter, A, Yitzhaky, Y & Kopeika, NS 1994, Restoration of images degraded by mechanical vibrations. in Proceedings - International Conference on Pattern Recognition. Proceedings - International Conference on Pattern Recognition, vol. 3, Institute of Electrical and Electronics Engineers, pp. 137-139, 12th IAPR International Conference on Pattern Recognition - Conference C: Signal Processing - Conference D: Parallel Computing, ICPR 1994, Jerusalem, Israel, 9/10/94. https://doi.org/10.1109/ICPR.1994.577139

Restoration of images degraded by mechanical vibrations. / Hadar, O.; Adar, Z.; Cotter, A. et al.
Proceedings - International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers, 1994. p. 137-139 (Proceedings - International Conference on Pattern Recognition; Vol. 3).

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

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AU - Adar, Z.

AU - Cotter, A.

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N2 - A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring dreiving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.

AB - A method of calculating numerically the optical transfer function appropriate to any type of image motion and vibration, including random ones, has been developed. This method has been verified experimentally, and the close agreement justifies implementation in image restoration for blurring dreiving from any type of image motion. The goal of this research is to recover the original image from its degraded version. There are many methods of image restoration based on the point spread function. One of the common methods is the Wiener filter. Here, some image restorations of physically degraded images are presented, based on a constrained least squares improvement of the original Wiener filter. The key to restoration is determination of the optical transfer function unique to each particular image motion and vibration.

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M3 - Conference contribution

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BT - Proceedings - International Conference on Pattern Recognition

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Restoration of images degraded by mechanical vibrations

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