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Volumn , Issue , 2010, Pages

Performance analys of segmentation-based method for blind evaluation of additive noise in images

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC EVALUATION; HYPERSPECTRAL; IMAGE FILTERING; NOISE CHARACTERISTIC; NOISE TYPES; NOISE VARIANCE; REMOTE SENSING IMAGES;

EID: 77957356982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MSMW.2010.5546162     Document Type: Conference Paper
Times cited : (7)

References (6)
  • 3
    • 50249182825 scopus 로고    scopus 로고
    • Segmentation-based method for blind evaluation of noise variance in images
    • (open access paper), Aug.
    • V. Lukin, S. Abramov, B. Vozel, K. Chehdi, J. Astola, "Segmentation-based method for blind evaluation of noise variance in images", SPIE Journal on Applied Remote Sensing, Vol. 2, 15 p. (open access paper), Aug. 2008.
    • (2008) SPIE Journal on Applied Remote Sensing , vol.2 , pp. 15
    • Lukin, V.1    Abramov, S.2    Vozel, B.3    Chehdi, K.4    Astola, J.5
  • 6
    • 33947681696 scopus 로고    scopus 로고
    • Noise identification and estimation of its statistical parameters by using unsupervised variational classification
    • B. Vozel, K. Chehdi, L. Klaine, "Noise identification and estimation of its statistical parameters by using unsupervised variational classification", Proceedings of ICASSP, Vol. II, pp. 841-844, 2006.
    • (2006) Proceedings of ICASSP , vol.2 , pp. 841-844
    • Vozel, B.1    Chehdi, K.2    Klaine, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.