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Volumn , Issue , 2011, Pages 1845-1848

Patch similarity under non Gaussian noise

Author keywords

Bayesian approach; Detection; Likelihood ratio; Matching; Patch similarity

Indexed keywords

BAYESIAN APPROACHES; CHANGE DETECTION; DE-NOISING; DESCRIPTORS; DETECTION THEORY; IMAGE FEATURES; INTENSITY DIFFERENCE; LIKELIHOOD RATIOS; MATCHING; NON-GAUSSIAN NOISE; NUMERICAL COMPARISON; PATCH SIMILARITY; POISSON NOISE; SIMILARITY CRITERIA;

EID: 84856249961     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6115825     Document Type: Conference Paper
Times cited : (18)

References (14)
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  • 5
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  • 7
    • 0344012953 scopus 로고    scopus 로고
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    • Kay, S.M.1    Gabriel, J.R.2
  • 9
    • 0035473885 scopus 로고    scopus 로고
    • Comparison of GLR and invariant detectors under structured clutter covariance
    • DOI 10.1109/83.951536, PII S1057714901082689
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  • 12
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  • 13
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    • Dec.
    • C.A. Deledalle, L. Denis, and F. Tupin, "Iterative Weighted Maximum Likelihood Denoising with Probabilistic Patch-Based Weights," IEEE TIP, vol. 18, no. 12, pp. 2661-2672, Dec. 2009.
    • (2009) IEEE TIP , vol.18 , Issue.12 , pp. 2661-2672
    • Deledalle, C.A.1    Denis, L.2    Tupin, F.3
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.