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

Wilson C. Kwan; Michael K. Ng

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

Wilson C. Kwan
, Michael K. Ng

Division of Science, Engineering and Health Studies (SEHS)

Research output: Contribution to conference › Paper › 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
Pages	198-200
Number of pages	3
Publication status	Published - 1999
Event	International Conference on Image Processing (ICIP'99) - Kobe, Jpn Duration: 24 Oct 1999 → 28 Oct 1999

Conference

Conference	International Conference on Image Processing (ICIP'99)
City	Kobe, Jpn
Period	24/10/99 → 28/10/99

Cite this

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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.\}",

year = "1999",

language = "English",

pages = "198--200",

note = "International Conference on Image Processing (ICIP'99) ; Conference date: 24-10-1999 Through 28-10-1999",

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TY - CONF

T1 - Iterative methods for phase diversity-based blind deconvolution in atmospheric optics

AU - Kwan, Wilson C.

AU - Ng, Michael K.

PY - 1999

Y1 - 1999

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.

UR - https://www.scopus.com/pages/publications/0033343291

M3 - Paper

AN - SCOPUS:0033343291

SP - 198

EP - 200

T2 - International Conference on Image Processing (ICIP'99)

Y2 - 24 October 1999 through 28 October 1999

ER -

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

Abstract

Conference

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