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Volumn , Issue , 2011, Pages 1453-1456

Single-frame-based rain removal via image decomposition

Author keywords

dictionary learning; image decomposition; morphological component analysis (MCA); Rain removal; sparse coding

Indexed keywords

BILATERAL FILTERS; COMPONENT ANALYSIS; DICTIONARY LEARNING; HIGH FREQUENCY HF; IMAGE DECOMPOSITION; LOW FREQUENCY; ORIGINAL IMAGES; SINGLE IMAGES; SPARSE CODING; TEMPORAL INFORMATION;

EID: 80051649553     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946766     Document Type: Conference Paper
Times cited : (97)

References (10)
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  • 2
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  • 3
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    • Barnum, P.C.1    Narasimhan, S.2    Kanade, T.3
  • 5
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    • Image decomposition and separation using sparse representations: An overview
    • June
    • J. M. Fadili, J. L. Starck, J. Bobin, and Y. Moudden, "Image decomposition and separation using sparse representations: an overview," Proc. of the IEEE, vol. 98, no. 6, pp. 983-994, June 2010.
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  • 7
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    • The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation
    • M. Aharon, M. Elad, and A. M. Bruckstein, "The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation," IEEE Trans. Signal Process., vol. 54, 2006.
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  • 9
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    • S. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Trans. Signal Process., vol. 41, no. 12, Dec. 1993.
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  • 10
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    • [Online]. Available
    • NTHU Rain Removal project. [Online]. Available: http://www.ee.nthu.edu. tw/cwlin/Rain-Removal/Rain-Removal.htm.
    • NTHU Rain Removal Project


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.