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Volumn 51, Issue 9, 2008, Pages 1349-1359

Edge detection algorithm based on ICA-domain shrinkage in noisy images

Author keywords

Edge detection; Independent component analysis; Poisson noise; Shrinkage function

Indexed keywords


EID: 49249139224     PISSN: 10092757     EISSN: 18622836     Source Type: Journal    
DOI: 10.1007/s11432-008-0114-1     Document Type: Article
Times cited : (5)

References (14)
  • 1
    • 0000196473 scopus 로고
    • A computation approach to edge detection
    • Canny F J. A computation approach to edge detection. IEEE PAMI, 1986, 6: 670-700
    • (1986) IEEE PAMI , vol.6 , pp. 670-700
    • Canny, F.J.1
  • 2
    • 0021155688 scopus 로고
    • Digital step edges from zero crossings of the second directional derivative
    • 1
    • Haralick M R. Digital step edges from zero crossings of the second directional derivative. IEEE PAMI, 1984, 6(1): 58-68
    • (1984) IEEE PAMI , vol.6 , pp. 58-68
    • Haralick, M.R.1
  • 4
    • 0030832881 scopus 로고    scopus 로고
    • The "independent Components" of natural scenes are edge filters
    • Bell A J, Sejnowski T J. The "Independent Components" of natural scenes are edge filters. Vision Res, 1997, 37: 3327-3338
    • (1997) Vision Res , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 5
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen B A, Field D J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 1996, 381: 607-609
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 6
    • 0032634507 scopus 로고    scopus 로고
    • Wavelet domain filtering for photon imaging systems
    • 5
    • Nowak R D, Baraniuk R. Wavelet domain filtering for photon imaging systems. IEEE Trans Image Proc, 1999, 8(5): 666-678
    • (1999) IEEE Trans Image Proc , vol.8 , pp. 666-678
    • Nowak, R.D.1    Baraniuk, R.2
  • 7
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell A J, Sejnowski T J. An information-maximization approach to blind separation and blind deconvolution. Neural Comp, 1995, 7: 1129-1159
    • (1995) Neural Comp , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 8
    • 0034207888 scopus 로고    scopus 로고
    • A unifying information-theoretic framework for independent component analysis
    • 11
    • Lee T-W, Girolami M, Bell A J, et al. A unifying information-theoretic framework for independent component analysis. Comp Math Appl, 2000, 31(11): 1-21
    • (2000) Comp Math Appl , vol.31 , pp. 1-21
    • Lee, T.-W.1    Girolami, M.2    Bell, A.J.3
  • 9
    • 7744225338 scopus 로고    scopus 로고
    • Grading learning for blind source separation
    • 1
    • Zhang X D, Zhu X L, Bao Z. Grading learning for blind source separation. Sci China Ser F-Inf Sci, 2003, 46(1): 31-44
    • (2003) Sci China ser F-Inf Sci , vol.46 , pp. 31-44
    • Zhang, X.D.1    Zhu, X.L.2    Bao, Z.3
  • 10
    • 0003905754 scopus 로고    scopus 로고
    • Independent component analysis in image denoising
    • Helsinki University of Techonology Eproo
    • Hoyer P. Independent component analysis in image denoising. Master's Thesis. Helsinki University of Techonology, Eproo, 1999
    • (1999) Master's Thesis
    • Hoyer, P.1
  • 11
    • 4544294317 scopus 로고    scopus 로고
    • Measuring sparseness in noisy signals
    • April, Nara, Japan
    • Karvanen J, Cichocki A. Measuring sparseness in noisy signals. In: Proc. of ICA 2003, April 2003, Nara, Japan
    • (2003) Proc. of ICA 2003
    • Karvanen, J.1    Cichocki, A.2
  • 13


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.