Iterative methods for phase diversity-based blind deconvolution in atmospheric optics

Wilson C. Kwan; Michael K. Ng

doi:10.1109/ICIP.1999.821596

Iterative methods for phase diversity-based blind deconvolution in atmospheric optics

Wilson C. Kwan^*
, Michael K. Ng

^*Corresponding author for this work

Department of Mathematics

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

In this paper, we deals with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase.

Original language	English
Title of host publication	Proceedings of 1999 International Conference on Image Processing, ICIP 1999
Publisher	IEEE
Pages	198-200
Number of pages	3
ISBN (Print)	0780354672, 0780354680, 0780354699
DOIs	https://doi.org/10.1109/ICIP.1999.821596
Publication status	Published - Oct 1999
Event	1999 International Conference on Image Processing, ICIP 1999 - Kobe, Japan Duration: 24 Oct 1999 → 28 Oct 1999 https://ieeexplore.ieee.org/xpl/conhome/6632/proceeding

Publication series

Name	Proceedings of International Conference on Image Processing, ICIP

Conference

Conference	1999 International Conference on Image Processing, ICIP 1999
Country/Territory	Japan
City	Kobe
Period	24/10/99 → 28/10/99
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6632/proceeding

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10.1109/ICIP.1999.821596

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@inproceedings{3ec41e9675004159818c071f1f846c9f,

title = "Iterative methods for phase diversity-based blind deconvolution in atmospheric optics",

abstract = "In this paper, we deals with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase.",

author = "Kwan, \{Wilson C.\} and Ng, \{Michael K.\}",

note = "The work of Michael Ng was supported by HKU CRCG grant no. 10201939. Publisher Copyright: {\textcopyright} 1999 by the Institute of Electrical and Electronics Engineers, Inc.; 1999 International Conference on Image Processing, ICIP 1999 ; Conference date: 24-10-1999 Through 28-10-1999",

year = "1999",

month = oct,

doi = "10.1109/ICIP.1999.821596",

language = "English",

isbn = "0780354672",

series = "Proceedings of International Conference on Image Processing, ICIP",

publisher = "IEEE",

pages = "198--200",

booktitle = "Proceedings of 1999 International Conference on Image Processing, ICIP 1999",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/6632/proceeding",

}

Kwan, WC & Ng, MK 1999, Iterative methods for phase diversity-based blind deconvolution in atmospheric optics. in Proceedings of 1999 International Conference on Image Processing, ICIP 1999. Proceedings of International Conference on Image Processing, ICIP, IEEE, pp. 198-200, 1999 International Conference on Image Processing, ICIP 1999, Kobe, Japan, 24/10/99. https://doi.org/10.1109/ICIP.1999.821596

Iterative methods for phase diversity-based blind deconvolution in atmospheric optics. / Kwan, Wilson C.; Ng, Michael K.
Proceedings of 1999 International Conference on Image Processing, ICIP 1999. IEEE, 1999. p. 198-200 (Proceedings of International Conference on Image Processing, ICIP).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

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AU - Ng, Michael K.

PY - 1999/10

Y1 - 1999/10

N2 - In this paper, we deals with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase.

AB - In this paper, we deals with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase.

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UR - https://ieeexplore.ieee.org/document/821596

U2 - 10.1109/ICIP.1999.821596

DO - 10.1109/ICIP.1999.821596

M3 - Conference proceeding

AN - SCOPUS:0033343291

SN - 0780354672

SN - 0780354680

SN - 0780354699

T3 - Proceedings of International Conference on Image Processing, ICIP

SP - 198

EP - 200

BT - Proceedings of 1999 International Conference on Image Processing, ICIP 1999

PB - IEEE

T2 - 1999 International Conference on Image Processing, ICIP 1999

Y2 - 24 October 1999 through 28 October 1999

ER -

Iterative methods for phase diversity-based blind deconvolution in atmospheric optics

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