메뉴 건너뛰기




Volumn 0, Issue , 2016, Pages 1412-1417

Anchored fusion for image restoration

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE DENOISING; IMAGE ENHANCEMENT; OPTICAL RESOLVING POWER; PATTERN RECOGNITION; RESTORATION;

EID: 85019141431     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7899835     Document Type: Conference Paper
Times cited : (5)

References (39)
  • 1
    • 85019133612 scopus 로고    scopus 로고
    • Regressor basis learning for anchored super-resolution
    • E. Agustsson, R. Timofte, and L. Van Gool, "Regressor basis learning for anchored super-resolution, " in ICPR, 2016.
    • (2016) ICPR
    • Agustsson, E.1    Timofte, R.2    Van Gool, L.3
  • 2
    • 24644478715 scopus 로고    scopus 로고
    • A non-local algorithm for image denoising
    • IEEE
    • A. Buades, B. Coll, and J.-M. Morel, "A non-local algorithm for image denoising, " in CVPR, vol. 2. IEEE, 2005, pp. 60-65.
    • (2005) CVPR , vol.2 , pp. 60-65
    • Buades, A.1    Coll, B.2    Morel, J.-M.3
  • 4
    • 85016191844 scopus 로고    scopus 로고
    • Learning how to combine internal and external denoising methods
    • H. C. Burger, C. Schuler, and S. Harmeling, "Learning how to combine internal and external denoising methods, " in GCPR, 2013.
    • (2013) GCPR
    • Burger, H.C.1    Schuler, C.2    Harmeling, S.3
  • 5
    • 5044219639 scopus 로고    scopus 로고
    • Super-resolution through neighbor embedding
    • H. Chang, D.-Y. Yeung, and Y. Xiong, "Super-resolution through neighbor embedding, " CVPR, 2004.
    • (2004) CVPR
    • Chang, H.1    Yeung, D.-Y.2    Xiong, Y.3
  • 7
    • 84886425335 scopus 로고    scopus 로고
    • Revisiting loss-specific training of filter-based mrfs for image restoration
    • Springer
    • Y. Chen, T. Pock, R. Ranftl, and H. Bischof, "Revisiting loss-specific training of filter-based mrfs for image restoration, " in Pattern Recogni-tion. Springer, 2013, pp. 271-281.
    • (2013) Pattern Recogni-tion , pp. 271-281
    • Chen, Y.1    Pock, T.2    Ranftl, R.3    Bischof, H.4
  • 8
    • 84959197704 scopus 로고    scopus 로고
    • On learning optimized reaction diffusion processes for effective image restoration
    • Y. Chen, W. Yu, and T. Pock, "On learning optimized reaction diffusion processes for effective image restoration, " in CVPR, 2015, pp. 5261-5269.
    • (2015) CVPR , pp. 5261-5269
    • Chen, Y.1    Yu, W.2    Pock, T.3
  • 9
    • 34547760736 scopus 로고    scopus 로고
    • Image denoising by sparse 3d transform-domain collaborative filtering
    • K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3d transform-domain collaborative filtering, " IEEE Trans. Image Processing, vol. 16, pp. 2080-2095, 2007.
    • (2007) IEEE Trans. Image Processing , vol.16 , pp. 2080-2095
    • Dabov, K.1    Foi, A.2    Katkovnik, V.3    Egiazarian, K.4
  • 12
    • 77953187337 scopus 로고    scopus 로고
    • Super-resolution from a single image
    • D. Glasner, S. Bagon, and M. Irani, "Super-resolution from a single image, " in ICCV, 2009.
    • (2009) ICCV
    • Glasner, D.1    Bagon, S.2    Irani, M.3
  • 13
    • 84911360659 scopus 로고    scopus 로고
    • Weighted nuclear norm minimization with application to image denoising
    • S. Gu, L. Zhang, W. Zuo, and X. Feng, "Weighted nuclear norm minimization with application to image denoising, " in CVPR, 2014.
    • (2014) CVPR
    • Gu, S.1    Zhang, L.2    Zuo, W.3    Feng, X.4
  • 14
    • 84959188745 scopus 로고    scopus 로고
    • Single image super-resolution from transformed self-exemplars
    • June
    • J.-B. Huang, A. Singh, and N. Ahuja, "Single image super-resolution from transformed self-exemplars, " in CVPR, June 2015.
    • (2015) CVPR
    • Huang, J.-B.1    Singh, A.2    Ahuja, N.3
  • 17
    • 84986325587 scopus 로고    scopus 로고
    • Accurate image super-resolution using very deep convolutional networks
    • J. Kim, J. K. Lee, and K. M. Lee, "Accurate image super-resolution using very deep convolutional networks, " in CVPR, 2016.
    • (2016) CVPR
    • Kim, J.1    Lee, J.K.2    Lee, K.M.3
  • 21
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • July
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, " in Proc. 8th Int'l Conf. Computer Vision, vol. 2, July 2001, pp. 416-423.
    • (2001) Proc. 8th Int'l Conf. Computer Vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 25
    • 84911451024 scopus 로고    scopus 로고
    • Shrinkage fields for effective image restoration
    • U. Schmidt and S. Roth, "Shrinkage fields for effective image restoration, " in CVPR, 2014, pp. 2774-2781.
    • (2014) CVPR , pp. 2774-2781
    • Schmidt, U.1    Roth, S.2
  • 26
    • 84959234116 scopus 로고    scopus 로고
    • Fast and accurate image upscaling with super-resolution forests
    • S. Schulter, C. Leistner, and H. Bischof, "Fast and accurate image upscaling with super-resolution forests, " in CVPR, 2015, pp. 3791-3799.
    • (2015) CVPR , pp. 3791-3799
    • Schulter, S.1    Leistner, C.2    Bischof, H.3
  • 28
    • 84898792173 scopus 로고    scopus 로고
    • Anchored neighborhood regression for fast example-based super resolution
    • R. Timofte, V. De Smet, and L. Van Gool, "Anchored neighborhood regression for fast example-based super resolution, " in ICCV, 2013.
    • (2013) ICCV
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 29
    • 84983684720 scopus 로고    scopus 로고
    • A+: Adjusted anchored neighborhood regression for fast super-resolution
    • Springer
    • R. Timofte, V. De Smet, and L. Van Gool, "A+: Adjusted anchored neighborhood regression for fast super-resolution, " in Computer Vision-ACCV 2014. Springer, 2014, pp. 111-126.
    • (2014) Computer Vision-ACCV 2014 , pp. 111-126
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 34
    • 84978977145 scopus 로고    scopus 로고
    • Demosaicing based on directional difference regression and efficient regression priors
    • August
    • J. Wu, R. Timofte, and L. Van Gool, "Demosaicing based on directional difference regression and efficient regression priors, " IEEE transactions on image processing, vol. 25, no. 8, pp. 3862-3874, August 2016.
    • (2016) IEEE Transactions on Image Processing , vol.25 , Issue.8 , pp. 3862-3874
    • Wu, J.1    Timofte, R.2    Van Gool, L.3
  • 35
    • 78049312324 scopus 로고    scopus 로고
    • Image super-resolution via sparse representation
    • J. Yang, J. Wright, T. Huang, and Y. Ma, "Image super-resolution via sparse representation, " IEEE Trans. Image Process., vol. 19, no. 11, pp. 2861-2873, 2010.
    • (2010) IEEE Trans. Image Process , vol.19 , Issue.11 , pp. 2861-2873
    • Yang, J.1    Wright, J.2    Huang, T.3    Ma, Y.4
  • 37
    • 84860189704 scopus 로고    scopus 로고
    • Solving inverse problems with piecewise linear estimators: From Gaussian mixture models to structured sparsity
    • G. Yu, G. Sapiro, and S. Mallat, "Solving inverse problems with piecewise linear estimators: From Gaussian mixture models to structured sparsity, " IEEE Trans. Image Processing, 2012.
    • (2012) IEEE Trans. Image Processing
    • Yu, G.1    Sapiro, G.2    Mallat, S.3
  • 38
    • 84887359177 scopus 로고    scopus 로고
    • Separating signal from noise using patch recurrence across scales
    • M. Zontak, I. Mosseri, and M. Irani, "Separating signal from noise using patch recurrence across scales, " in CVPR, 2013.
    • (2013) CVPR
    • Zontak, M.1    Mosseri, I.2    Irani, M.3
  • 39
    • 84856650948 scopus 로고    scopus 로고
    • From learning models of natural image patches to whole image restoration
    • D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration, " in ICCV, 2011, pp. 479-486.
    • (2011) ICCV , pp. 479-486
    • Zoran, D.1    Weiss, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.