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Volumn 35, Issue 2, 1996, Pages 232-239

Fourier–transformation, phase–iteration, and least–square–fit image processing for Young’s fringe pattern

Author keywords

Fast Fourier transform; Least square fit; Phase iteration; Young s pattern

Indexed keywords


EID: 0004438028     PISSN: 1559128X     EISSN: 21553165     Source Type: Journal    
DOI: 10.1364/AO.35.000232     Document Type: Article
Times cited : (7)

References (10)
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  • 2
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  • 3
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  • 4
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    • Huntley, J.M.1
  • 5
    • 84975635754 scopus 로고
    • Speckle photography fringe analysis by the Walsh transform
    • J. M. Huntley, “Speckle photography fringe analysis by the Walsh transform,” Appl. Opt. 25, 382-386 (1986).
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    • Huntley, J.M.1
  • 6
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    • Speckle photography fringe analysis: Assess ment of current algorithms
    • J. M. Huntley, “Speckle photography fringe analysis: assess ment of current algorithms,” Appl. Opt. 28, 4316-4322 (1989).
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  • 7
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    • Chen, D.J.1    Chiang, F.P.2
  • 8
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    • Maximum-likelihood analysis of speckle photography fringe patterns
    • J. M. Huntley, “Maximum-likelihood analysis of speckle photography fringe patterns,” Appl. Opt. 31, 4834-4838 (1992).
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  • 9
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    • Statistical analysis of one-beam subjective laser-speckle interferometry
    • D. W. Li, J. B. Chen, and F. P. Chang, “Statistical analysis of one-beam subjective laser-speckle interferometry,” J. Opt. Soc. Am. A2, 657-666 (1985).
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  • 10
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    • Iteration algorithm for computer aided speckle interferometry
    • J. Gu, Y. Y. Hung, and F. Chen, “Iteration algorithm for computer aided speckle interferometry,” Appl. Opt. 33, 5308-5317 (1994).
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    • Gu, J.1    Hung, Y.Y.2    Chen, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.