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Volumn 25, Issue 9, 2008, Pages 2170-2176

Multichannel blind deconvolution of polarimetric imagery

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; CONVOLUTION; DECONVOLUTION; OPTICAL TRANSFER FUNCTION; POLARIZATION; POLAROGRAPHIC ANALYSIS;

EID: 56849099096     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.25.002170     Document Type: Article
Times cited : (23)

References (20)
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  • 3
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  • 11
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    • Multiframe blind deconvolution of astronomical images
    • T. Schulz, "Multiframe blind deconvolution of astronomical images," J. Opt. Soc. Am. A 10, 1064-1073 (1993).
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    • Schulz, T.1
  • 12
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    • Multiframe blind deconvolution with real data: Imagery of the Hubble Space Telescope
    • T. Schulz, B. Stribling, and J. Miller, "Multiframe blind deconvolution with real data: imagery of the Hubble Space Telescope," Opt. Express 1, 355-362 (1997).
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  • 13
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    • Polarimetric data reduction: A Bayesian approach
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    • Zallat, J.1    Heinrich, C.2
  • 14
    • 56849111705 scopus 로고    scopus 로고
    • Polarimeter blind deconvolution using image diversity,
    • Ph.D. dissertation Air Force Institute of Technology
    • D. M. Strong, "Polarimeter blind deconvolution using image diversity," Ph.D. dissertation (Air Force Institute of Technology, 2007).
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    • Strong, D.M.1
  • 15
  • 16
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    • The expectation-maximization algorithm
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  • 18
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    • Can a light beam be considered to be the sum of a completely polarized and a completely unpolarized beam?
    • E. Wolf, "Can a light beam be considered to be the sum of a completely polarized and a completely unpolarized beam?" Opt. Lett. 33, 642-644 (2008).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.