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Volumn 1, Issue , 2012, Pages 341-349

Image denoising and inpainting with deep neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX PROBLEMS; DEEP NEURAL NETWORKS; IMAGE INPAINTING; LOW-LEVEL VISION; MISSING AT RANDOMS; SUPERIMPOSED TEXT; TRAINING SCHEMES; UNSUPERVISED FEATURE LEARNING;

EID: 84877728447     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1526)

References (23)
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    • IEEE Transactions on
    • J. Portilla, V. Strela, M.J. Wainwright, and E.P. Simoncelli. Image denoising using scale mixtures of Gaussians in the wavelet domain. Image Processing, IEEE Transactions on, 12(11):1338-1351, 2003.
    • (2003) Image Processing , vol.12 , Issue.11 , pp. 1338-1351
    • Portilla, J.1    Strela, V.2    Wainwright, M.J.3    Simoncelli, E.P.4
  • 3
    • 33947206581 scopus 로고    scopus 로고
    • A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding
    • F. Luisier, T. Blu, and M. Unser. A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding. IEEE Transactions on Image Processing, 16(3):593-606, 2007.
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.3 , pp. 593-606
    • Luisier, F.1    Blu, T.2    Unser, M.3
  • 4
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1?
    • B.A. Olshausen and D.J. Field. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision research, 37(23):3311-3325, 1997.
    • (1997) Vision Research , vol.37 , Issue.23 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 6
    • 33751379736 scopus 로고    scopus 로고
    • Image denoising via sparse and redundant representations over learned dictionaries
    • M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Transactions on Image Processing, 15(12):3736-3745, 2006.
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.12 , pp. 3736-3745
    • Elad, M.1    Aharon, M.2
  • 10
    • 4344675264 scopus 로고    scopus 로고
    • Region filling and object removal by exemplar-based image inpainting
    • A. Criminisi, P. Pérez, and K. Toyama. Region filling and object removal by exemplar-based image inpainting. IEEE Transactions on Image Processing, 13(9):1200-1212, 2004.
    • (2004) IEEE Transactions on Image Processing , vol.13 , Issue.9 , pp. 1200-1212
    • Criminisi, A.1    Pérez, P.2    Toyama, K.3
  • 12
    • 24644514008 scopus 로고    scopus 로고
    • An image inpainting technique based on the fast marching method
    • A. Telea. An image inpainting technique based on the fast marching method. Journal of graphics tools., 9(1):23-34, 2004.
    • (2004) Journal of Graphics Tools , vol.9 , Issue.1 , pp. 23-34
    • Telea, A.1
  • 21
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
    • P. Vincent, H. Larochelle, I. Lajoie, Y Bengio, and P.A. Manzagol. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. The Journal of Machine Learning Research, 11:3371-3408, 2010.
    • (2010) The Journal of Machine Learning Research , vol.11 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3    Bengio, Y.4    Manzagol, P.A.5
  • 22
    • 80053437034 scopus 로고    scopus 로고
    • On optimization methods for deep learning
    • Q.V. Le, A. Coates, B. Prochnow, and AY. Ng. On optimization methods for deep learning. Learning, pages 265-272, 2011.
    • (2011) Learning , pp. 265-272
    • Le, Q.V.1    Coates, A.2    Prochnow, B.3    Ng, A.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.