메뉴 건너뛰기




Volumn 25, Issue 7, 2016, Pages 3194-3207

Robust Single Image Super-Resolution via Deep Networks with Sparse Prior

Author keywords

deep neural networks; image super resolution; sparse coding

Indexed keywords

CASCADE CONTROL SYSTEMS; CODES (SYMBOLS); OPTICAL RESOLVING POWER;

EID: 84971529522     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2016.2564643     Document Type: Article
Times cited : (301)

References (50)
  • 1
    • 0036709429 scopus 로고    scopus 로고
    • Limits on super-resolution and how to break them
    • Sep.
    • S. Baker and T. Kanade, "Limits on super-resolution and how to break them, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 9, pp. 1167-1183, Sep. 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.9 , pp. 1167-1183
    • Baker, S.1    Kanade, T.2
  • 2
    • 0742321109 scopus 로고    scopus 로고
    • Fundamental limits of reconstruction-based superresolution algorithms under local translation
    • Jan.
    • Z. Lin and H.-Y. Shum, "Fundamental limits of reconstruction-based superresolution algorithms under local translation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 1, pp. 83-97, Jan. 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.1 , pp. 83-97
    • Lin, Z.1    Shum, H.-Y.2
  • 3
    • 34547702076 scopus 로고    scopus 로고
    • Image upsampling via imposed edge statistics
    • Art. no. 95
    • R. Fattal, "Image upsampling via imposed edge statistics, " ACM Trans. Graph., vol. 26, no. 3, 2007, Art. no. 95.
    • (2007) ACM Trans. Graph. , vol.26 , Issue.3
    • Fattal, R.1
  • 4
    • 27744520250 scopus 로고    scopus 로고
    • Image up-sampling using total-variation regularization with a new observation model
    • Oct.
    • H. A. Aly and E. Dubois, "Image up-sampling using total-variation regularization with a new observation model, " IEEE Trans. Image Process., vol. 14, no. 10, pp. 1647-1659, Oct. 2005.
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.10 , pp. 1647-1659
    • Aly, H.A.1    Dubois, E.2
  • 5
    • 78049312324 scopus 로고    scopus 로고
    • Image super-resolution via sparse representation
    • Nov.
    • J. Yang, J. Wright, T. S. Huang, and Y. Ma, "Image super-resolution via sparse representation, " IEEE Trans. Image Process., vol. 19, no. 11, pp. 2861-2873, Nov. 2010.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.11 , pp. 2861-2873
    • Yang, J.1    Wright, J.2    Huang, T.S.3    Ma, Y.4
  • 6
    • 84864128043 scopus 로고    scopus 로고
    • Coupled dictionary training for image super-resolution
    • Aug.
    • J. Yang, Z. Wang, Z. Lin, S. Cohen, and T. Huang, "Coupled dictionary training for image super-resolution, " IEEE Trans. Image Process., vol. 21, no. 8, pp. 3467-3478, Aug. 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.8 , pp. 3467-3478
    • Yang, J.1    Wang, Z.2    Lin, Z.3    Cohen, S.4    Huang, T.5
  • 7
    • 84862549633 scopus 로고    scopus 로고
    • Image super-resolution with sparse neighbor embedding
    • Jul.
    • X. Gao, K. Zhang, D. Tao, and X. Li, "Image super-resolution with sparse neighbor embedding, " IEEE Trans. Image Process., vol. 21, no. 7, pp. 3194-3205, Jul. 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.7 , pp. 3194-3205
    • Gao, X.1    Zhang, K.2    Tao, D.3    Li, X.4
  • 8
    • 77953187337 scopus 로고    scopus 로고
    • Super-resolution from a single image
    • Sep./Oct.
    • D. Glasner, S. Bagon, and M. Irani, "Super-resolution from a single image, " in Proc. ICCV, Sep./Oct. 2009, pp. 349-356.
    • (2009) Proc. ICCV , pp. 349-356
    • Glasner, D.1    Bagon, S.2    Irani, M.3
  • 9
    • 79955668981 scopus 로고    scopus 로고
    • Image and video upscaling from local self-examples
    • Art. no. 12
    • G. Freedman and R. Fattal, "Image and video upscaling from local self-examples, " ACM Trans. Graph., vol. 30, no. 2, 2011, Art. no. 12.
    • (2011) ACM Trans. Graph. , vol.30 , Issue.2
    • Freedman, G.1    Fattal, R.2
  • 10
    • 77951623771 scopus 로고    scopus 로고
    • Single-image super-resolution using sparse regression and natural image prior
    • Jun.
    • K. I. Kim and Y. Kwon, "Single-image super-resolution using sparse regression and natural image prior, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 6, pp. 1127-1133, Jun. 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.6 , pp. 1127-1133
    • Kim, K.I.1    Kwon, Y.2
  • 11
    • 84971542268 scopus 로고    scopus 로고
    • Similarity constraints-based structured output regression machine: An approach to image super-resolution
    • to be published
    • C. Deng, J. Xu, K. Zhang, D. Tao, X. Gao, and X. Li, "Similarity constraints-based structured output regression machine: An approach to image super-resolution, " IEEE Trans. Neural Netw. Learn. Syst., to be published.
    • IEEE Trans. Neural Netw. Learn. Syst
    • Deng, C.1    Xu, J.2    Zhang, K.3    Tao, D.4    Gao, X.5    Li, X.6
  • 12
    • 84906495121 scopus 로고    scopus 로고
    • Single-image super-resolution: A benchmark
    • C.-Y. Yang, C. Ma, and M.-H. Yang, "Single-image super-resolution: A benchmark, " in Proc. ECCV, 2014, pp. 372-386.
    • (2014) Proc. ECCV , pp. 372-386
    • Yang, C.-Y.1    Ma, C.2    Yang, M.-H.3
  • 13
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks, " in Proc. NIPS, 2012, pp. 1097-1105.
    • (2012) Proc. NIPS , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 14
    • 84906509108 scopus 로고    scopus 로고
    • Deep network cascade for image super-resolution
    • Z. Cui, H. Chang, S. Shan, B. Zhong, and X. Chen, "Deep network cascade for image super-resolution, " in Proc. ECCV, 2014, pp. 49-64.
    • (2014) Proc. ECCV , pp. 49-64
    • Cui, Z.1    Chang, H.2    Shan, S.3    Zhong, B.4    Chen, X.5
  • 15
    • 84952028763 scopus 로고    scopus 로고
    • Self-tuned deep super resolution
    • Jun.
    • Z. Wang et al., "Self-tuned deep super resolution, " in Proc. IEEE Conf. CVPR Workshops, Jun. 2015, pp. 1-8.
    • (2015) Proc. IEEE Conf. CVPR Workshops , pp. 1-8
    • Wang, Z.1
  • 16
    • 84906484697 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • C. Dong, C. C. Loy, K. He, and X. Tang, "Learning a deep convolutional network for image super-resolution, " in Proc. ECCV, 2014, pp. 184-199.
    • (2014) Proc. ECCV , pp. 184-199
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 17
    • 84910002310 scopus 로고    scopus 로고
    • Image super-resolution with fast approximate convolutional sparse coding
    • New York, NY, USA: Springer
    • C. Osendorfer, H. Soyer, and P. van der Smagt, "Image super-resolution with fast approximate convolutional sparse coding, " in Neural Information Processing. New York, NY, USA: Springer, 2014, pp. 250-257.
    • (2014) Neural Information Processing , pp. 250-257
    • Osendorfer, C.1    Soyer, H.2    Van Der Smagt, P.3
  • 18
    • 77956515664 scopus 로고    scopus 로고
    • Learning fast approximations of sparse coding
    • K. Gregor and Y. LeCun, "Learning fast approximations of sparse coding, " in Proc. ICML, 2010, pp. 399-406.
    • (2010) Proc. ICML , pp. 399-406
    • Gregor, K.1    LeCun, Y.2
  • 19
    • 84939567002 scopus 로고    scopus 로고
    • Structured overcomplete sparsi-fying transform learning with convergence guarantees and applications
    • B. Wen, S. Ravishankar, and Y. Bresler, "Structured overcomplete sparsi-fying transform learning with convergence guarantees and applications, " Int. J. Comput. Vis., vol. 114, no. 2, pp. 137-167, 2015.
    • (2015) Int. J. Comput. Vis. , vol.114 , Issue.2 , pp. 137-167
    • Wen, B.1    Ravishankar, S.2    Bresler, Y.3
  • 21
    • 84973897612 scopus 로고    scopus 로고
    • Deep networks for image super-resolution with sparse prior
    • Dec.
    • Z. Wang, D. Liu, J. Yang, W. Han, and T. Huang, "Deep networks for image super-resolution with sparse prior, " in Proc. CVPR, Dec. 2015, pp. 370-378.
    • (2015) Proc. CVPR , pp. 370-378
    • Wang, Z.1    Liu, D.2    Yang, J.3    Han, W.4    Huang, T.5
  • 23
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • Nov.
    • I. Daubechies, M. Defrise, and C. De Mol, "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, " Commun. Pure Appl. Math., vol. 57, no. 11, pp. 1413-1457, Nov. 2004.
    • (2004) Commun. Pure Appl. Math. , vol.57 , Issue.11 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
  • 24
    • 51849128608 scopus 로고    scopus 로고
    • Sparse coding via thresholding and local competition in neural circuits
    • C. J. Rozell, D. H. Johnson, R. G. Baraniuk, and B. A. Olshausen, "Sparse coding via thresholding and local competition in neural circuits, " Neural Comput., vol. 20, no. 10, pp. 2526-2563, 2008.
    • (2008) Neural Comput. , vol.20 , Issue.10 , pp. 2526-2563
    • Rozell, C.J.1    Johnson, D.H.2    Baraniuk, R.G.3    Olshausen, B.A.4
  • 26
    • 77956509090 scopus 로고    scopus 로고
    • Rectified linear units improve restricted Boltzmann machines
    • V. Nair and G. E. Hinton, "Rectified linear units improve restricted Boltzmann machines, " in Proc. ICML, 2010, pp. 807-814.
    • (2010) Proc. ICML , pp. 807-814
    • Nair, V.1    Hinton, G.E.2
  • 28
    • 84898792173 scopus 로고    scopus 로고
    • Anchored neighborhood regression for fast example-based super-resolution
    • Dec.
    • R. Timofte, V. De, and L. Van Gool, "Anchored neighborhood regression for fast example-based super-resolution, " in Proc. ICCV, Dec. 2013, pp. 1920-1927.
    • (2013) Proc. ICCV , pp. 1920-1927
    • Timofte, R.1    De, V.2    Van Gool, L.3
  • 29
    • 84890478042 scopus 로고    scopus 로고
    • Building high-level features using large scale unsupervised learning
    • May
    • Q. V. Le, "Building high-level features using large scale unsupervised learning, " in Proc. IEEE ICASSP, May 2013, pp. 8595-8598.
    • (2013) Proc. IEEE ICASSP , pp. 8595-8598
    • Le, Q.V.1
  • 30
    • 84911449395 scopus 로고    scopus 로고
    • Learning and transferring mid-level image representations using convolutional neural networks
    • Jun.
    • M. Oquab, L. Bottou, I. Laptev, and J. Sivic, "Learning and transferring mid-level image representations using convolutional neural networks, " in Proc. CVPR, Jun. 2014, pp. 1717-1724.
    • (2014) Proc. CVPR , pp. 1717-1724
    • Oquab, M.1    Bottou, L.2    Laptev, I.3    Sivic, J.4
  • 31
    • 24644478715 scopus 로고    scopus 로고
    • A non-local algorithm for image denoising
    • Jun.
    • A. Buades, B. Coll, and J.-M. Morel, "A non-local algorithm for image denoising, " in Proc. CVPR, Jun. 2005, pp. 60-65.
    • (2005) Proc. CVPR , pp. 60-65
    • Buades, A.1    Coll, B.2    Morel, J.-M.3
  • 32
    • 33750383209 scopus 로고    scopus 로고
    • K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation
    • Nov.
    • M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation, " IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4311-4322, Nov. 2006.
    • (2006) IEEE Trans. Signal Process. , vol.54 , Issue.11 , pp. 4311-4322
    • Aharon, M.1    Elad, M.2    Bruckstein, A.3
  • 33
    • 34547760736 scopus 로고    scopus 로고
    • Image denoising by sparse 3D transform-domain collaborative filtering
    • Aug.
    • K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3D transform-domain collaborative filtering, " IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, Aug. 2007.
    • (2007) IEEE Trans. Image Process. , vol.16 , Issue.8 , pp. 2080-2095
    • Dabov, K.1    Foi, A.2    Katkovnik, V.3    Egiazarian, K.4
  • 34
    • 84956702071 scopus 로고    scopus 로고
    • Video denoising by online 3D sparsifying transform learning
    • Sep.
    • B. Wen, S. Ravishankar, and Y. Bresler, "Video denoising by online 3D sparsifying transform learning, " in Proc. IEEE ICIP, Sep. 2015, pp. 118-122.
    • (2015) Proc. IEEE ICIP , pp. 118-122
    • Wen, B.1    Ravishankar, S.2    Bresler, Y.3
  • 35
    • 84929299727 scopus 로고    scopus 로고
    • Online sparsifying transform learning-Part I: Algorithms
    • Jun.
    • S. Ravishankar, B. Wen, and Y. Bresler, "Online sparsifying transform learning-Part I: Algorithms, " IEEE J. Sel. Topics Signal Process., vol. 9, no. 4, pp. 625-636, Jun. 2015.
    • (2015) IEEE J. Sel. Topics Signal Process. , vol.9 , Issue.4 , pp. 625-636
    • Ravishankar, S.1    Wen, B.2    Bresler, Y.3
  • 36
    • 84939788770 scopus 로고    scopus 로고
    • Learning super-resolution jointly from external and internal examples
    • Nov.
    • Z. Wang, Y. Yang, Z. Wang, S. Chang, J. Yang, and T. S. Huang, "Learning super-resolution jointly from external and internal examples, " IEEE Trans. Image Process., vol. 24, no. 11, pp. 4359-4371, Nov. 2015.
    • (2015) IEEE Trans. Image Process. , vol.24 , Issue.11 , pp. 4359-4371
    • Wang, Z.1    Yang, Y.2    Wang, Z.3    Chang, S.4    Yang, J.5    Huang, T.S.6
  • 37
    • 84887347938 scopus 로고    scopus 로고
    • Fast image super-resolution based on in-place example regression
    • Jun.
    • J. Yang, Z. Lin, and S. Cohen, "Fast image super-resolution based on in-place example regression, " in Proc. CVPR, Jun. 2013, pp. 1059-1066.
    • (2013) Proc. CVPR , pp. 1059-1066
    • Yang, J.1    Lin, Z.2    Cohen, S.3
  • 38
    • 0001667583 scopus 로고
    • Rank analysis of incomplete block designs: I. The method of paired comparisons
    • R. A. Bradley and M. E. Terry, "Rank analysis of incomplete block designs: I. The method of paired comparisons, " Biometrika, vol. 39, nos. 3-4, pp. 324-345, 1952.
    • (1952) Biometrika , vol.39 , Issue.3-4 , pp. 324-345
    • Bradley, R.A.1    Terry, M.E.2
  • 39
    • 84898409537 scopus 로고    scopus 로고
    • Low-complexity single-image super-resolution based on nonnegative neighbor embedding
    • M. Bevilacqua, A. Roumy, C. Guillemot, and M.-L. Alberi-Morel, "Low-complexity single-image super-resolution based on nonnegative neighbor embedding, " in Proc. BMVC, 2012, pp. 135.1-135.10.
    • (2012) Proc. BMVC , pp. 1351-13510
    • Bevilacqua, M.1    Roumy, A.2    Guillemot, C.3    Alberi-Morel, M.-L.4
  • 40
    • 84855655878 scopus 로고    scopus 로고
    • On single image scale-up using sparse-representations
    • Heidelberg, Germany: Springer
    • R. Zeyde, M. Elad, and M. Protter, "On single image scale-up using sparse-representations, " in Curves and Surfaces. Heidelberg, Germany: Springer, 2012, pp. 711-730.
    • (2012) Curves and Surfaces , pp. 711-730
    • Zeyde, R.1    Elad, M.2    Protter, M.3
  • 41
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • Jul.
    • 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. ICCV, vol. 2. Jul. 2001, pp. 416-423.
    • (2001) Proc. ICCV , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 42
    • 84962128851 scopus 로고    scopus 로고
    • Image super-resolution using deep convolutional networks
    • Feb.
    • C. Dong, C. C. Loy, K. He, and X. Tang, "Image super-resolution using deep convolutional networks, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 38, no. 2, pp. 295-307, Feb. 2015.
    • (2015) IEEE Trans. Pattern Anal. Mach. Intell. , vol.38 , Issue.2 , pp. 295-307
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 43
    • 84983684720 scopus 로고    scopus 로고
    • A+: Adjusted anchored neighborhood regression for fast super-resolution
    • R. Timofte, V. De Smet, and L. Van Gool, "A+: Adjusted anchored neighborhood regression for fast super-resolution, " in Proc. ACCV, 2014, pp. 111-126.
    • (2014) Proc. ACCV , pp. 111-126
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 44
    • 85198028989 scopus 로고    scopus 로고
    • ImageNet: A large-scale hierarchical image database
    • Jun.
    • J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, "ImageNet: A large-scale hierarchical image database, " in Proc. CVPR, Jun. 2009, pp. 248-255.
    • (2009) Proc. CVPR , pp. 248-255
    • Deng, J.1    Dong, W.2    Socher, R.3    Li, L.-J.4    Li, K.5    Fei-Fei, L.6
  • 45
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: From error visibility to structural similarity
    • Apr.
    • Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity, " IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.C.2    Sheikh, H.R.3    Simoncelli, E.P.4
  • 46
    • 84959188745 scopus 로고    scopus 로고
    • Single image super-resolution from transformed self-exemplars
    • Jun.
    • J.-B. Huang, A. Singh, and N. Ahuja, "Single image super-resolution from transformed self-exemplars, " in Proc. CVPR, Jun. 2015, pp. 5197-5206.
    • (2015) Proc. CVPR , pp. 5197-5206
    • Huang, J.-B.1    Singh, A.2    Ahuja, N.3
  • 47
    • 84863012902 scopus 로고    scopus 로고
    • Centralized sparse representation for image restoration
    • Nov.
    • W. Dong, L. Zhang, and G. Shi, "Centralized sparse representation for image restoration, " in Proc. ICCV, Nov. 2011, pp. 1259-1266.
    • (2011) Proc. ICCV , pp. 1259-1266
    • Dong, W.1    Zhang, L.2    Shi, G.3
  • 48
    • 84867853644 scopus 로고    scopus 로고
    • Single image super-resolution with non-local means and steering kernel regression
    • Nov.
    • K. Zhang, X. Gao, D. Tao, and X. Li, "Single image super-resolution with non-local means and steering kernel regression, " IEEE Trans. Image Process., vol. 21, no. 11, pp. 4544-4556, Nov. 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.11 , pp. 4544-4556
    • Zhang, K.1    Gao, X.2    Tao, D.3    Li, X.4
  • 49
    • 84866721916 scopus 로고    scopus 로고
    • Geometry constrained sparse coding for single image super-resolution
    • Jun.
    • X. Lu, H. Yuan, P. Yan, Y. Yuan, and X. Li, "Geometry constrained sparse coding for single image super-resolution, " in Proc. CVPR, Jun. 2012, pp. 1648-1655.
    • (2012) Proc. CVPR , pp. 1648-1655
    • Lu, X.1    Yuan, H.2    Yan, P.3    Yuan, Y.4    Li, X.5
  • 50
    • 84986331470 scopus 로고    scopus 로고
    • Studying very low resolution recognition using deep networks
    • Z. Wang, S. Chang, Y. Yang, D. Liu, and T. S. Huang, "Studying very low resolution recognition using deep networks, " in Proc. CVPR, 2016, pp. 1-9.
    • (2016) Proc. CVPR , pp. 1-9
    • Wang, Z.1    Chang, S.2    Yang, Y.3    Liu, D.4    Huang, T.S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.