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Volumn , Issue , 2013, Pages 2454-2458

Wavelength-adaptive image formation model and geometric classification for defogging unmanned aerial vehicle images

Author keywords

image defogging; Image enhancement; unmanned aerial vehicle

Indexed keywords

AIRBORNE IMAGES; ATMOSPHERIC DEGRADATION; GEOMETRIC CLASSIFICATION; IMAGE DEFOGGING; IMAGE ENHANCEMENT ALGORITHM; IMAGE FORMATION MODELS; MODIFIED TRANSMISSION; SCATTERING CO-EFFICIENT;

EID: 84890507502     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6638096     Document Type: Conference Paper
Times cited : (3)

References (10)
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  • 3
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    • Factorizing scene albedo and depth from a single foggy image
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    • (2009) IEEE Int. Conf. Computer Vision , pp. 1701-1708
    • Kratz, L.1    Nishino, K.2
  • 5
    • 84890468936 scopus 로고    scopus 로고
    • Universal strategy for surveillance video defogging
    • B. Xie, F. Guo and Z. Cai, "Universal strategy forsurveillance video defogging," Optical Engineering,vol. 51, no. 10, pp. 101703 (1-7), October 2012
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    • Xie, B.1    Guo, F.2    Cai, Z.3
  • 6
    • 84859047736 scopus 로고    scopus 로고
    • Adaptive defogging with color correction in the HSV color space for consumer surveillance system
    • I. Yoon, S. Kim, D. Kim, M. Hayes, and J. Paik, "Adaptivedefogging with color correction in the HSV colorspace for consumer surveillance system," IEEE Trans.Consumer Electronics, vol. 58, no. 1, pp. 111-116,February 2012
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    • Geometric context from a single image
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  • 10
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    • A practical analytic model for daylight
    • January
    • A. Preetham, P. Shirley, and B. Smits, "A practical analyticmodel for daylight," Proc. ACM SIGGRAPH, pp.91-100, January 1999.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.