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Volumn 9906 LNCS, Issue , 2016, Pages 391-407

Accelerating the super-resolution convolutional neural network

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; NEURAL NETWORKS; OPTICAL RESOLVING POWER; RESTORATION;

EID: 84990837045     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46475-6_25     Document Type: Conference Paper
Times cited : (3103)

References (29)
  • 1
    • 84906484697 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part IV. LNCS, vol. 8692, pp. 184-199. Springer, Heidelberg (2014)
    • (2014) ECCV 2014, Part IV. LNCS , vol.8692 , pp. 184-199
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 2
    • 84962128851 scopus 로고    scopus 로고
    • Image super-resolution using deep convolutional networks
    • Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. TPAMI 38(2), 295-307 (2015)
    • (2015) TPAMI , vol.38 , Issue.2 , pp. 295-307
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 3
    • 84898787395 scopus 로고    scopus 로고
    • Fast direct super-resolution by simple functions
    • Yang, C.Y., Yang, M.H.: Fast direct super-resolution by simple functions. In: ICCV, pp. 561-568 (2013)
    • (2013) ICCV , pp. 561-568
    • Yang, C.Y.1    Yang, M.H.2
  • 4
    • 84898792173 scopus 로고    scopus 로고
    • Anchored neighborhood regression for fast example-based super-resolution
    • Timofte, R., De Smet, V., Van Gool, L.: Anchored neighborhood regression for fast example-based super-resolution. In: ICCV, pp. 1920-1927 (2013)
    • (2013) ICCV , pp. 1920-1927
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 5
    • 84983684720 scopus 로고    scopus 로고
    • A+: Adjusted anchored neighborhood regression for fast super-resolution
    • Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.), Springer, Heidelberg
    • Timofte, R., De Smet, V., Van Gool, L.: A+: adjusted anchored neighborhood regression for fast super-resolution. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9006, pp. 111-126. Springer, Heidelberg (2015)
    • (2015) ACCV 2014. LNCS , vol.9006 , pp. 111-126
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 6
    • 84906509108 scopus 로고    scopus 로고
    • Deep network cascade for image super-resolution
    • Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Cui, Z., Chang, H., Shan, S., Zhong, B., Chen, X.: Deep network cascade for image super-resolution. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 49-64. Springer, Heidelberg (2014)
    • (2014) ECCV 2014, Part V. LNCS , vol.8693 , pp. 49-64
    • Cui, Z.1    Chang, H.2    Shan, S.3    Zhong, B.4    Chen, X.5
  • 7
    • 84959234116 scopus 로고    scopus 로고
    • Fast and accurate image upscaling with super-resolution forests
    • Schulter, S., Leistner, C., Bischof, H.: Fast and accurate image upscaling with super-resolution forests. In: CVPR, pp. 3791-3799 (2015)
    • (2015) CVPR , pp. 3791-3799
    • Schulter, S.1    Leistner, C.2    Bischof, H.3
  • 8
    • 84986251426 scopus 로고    scopus 로고
    • Deeply improved sparse coding for image super-resolution
    • Wang, Z., Liu, D., Yang, J., Han, W., Huang, T.: Deeply improved sparse coding for image super-resolution. In: ICCV, pp. 370-378 (2015)
    • (2015) ICCV , pp. 370-378
    • Wang, Z.1    Liu, D.2    Yang, J.3    Han, W.4    Huang, T.5
  • 9
    • 84855655878 scopus 로고    scopus 로고
    • On single image scale-up using sparserepresentations
    • Boissonnat, J.-D., Chenin, P., Cohen, A., Gout, C., Lyche, T., Mazure, M.-L., Schumaker, L. (eds.), Springer, Heidelberg
    • Zeyde, R., Elad, M., Protter, M.: On single image scale-up using sparserepresentations. In: Boissonnat, J.-D., Chenin, P., Cohen, A., Gout, C., Lyche, T., Mazure, M.-L., Schumaker, L. (eds.) Curves and Surfaces 2011. LNCS, vol. 6920, pp. 711-730. Springer, Heidelberg (2012)
    • (2012) Curves and Surfaces 2011. LNCS , vol.6920 , pp. 711-730
    • Zeyde, R.1    Elad, M.2    Protter, M.3
  • 10
    • 78049312324 scopus 로고    scopus 로고
    • Image super-resolution via sparse representation
    • Yang, J., Wright, J., Huang, T.S., Ma, Y.: Image super-resolution via sparse representation. TIP 19(11), 2861-2873 (2010)
    • (2010) TIP , vol.19 , Issue.11 , pp. 2861-2873
    • Yang, J.1    Wright, J.2    Huang, T.S.3    Ma, Y.4
  • 11
    • 84906489074 scopus 로고    scopus 로고
    • Visualizing and understanding convolutional networks
    • Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 818-833. Springer, Heidelberg (2014)
    • (2014) ECCV 2014, Part I. LNCS , vol.8689 , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2
  • 12
    • 84937878882 scopus 로고    scopus 로고
    • Deep convolutional neural network for image deconvolution
    • Xu, L., Ren, J.S., Liu, C., Jia, J.: Deep convolutional neural network for image deconvolution. In: NIPS, pp. 1790-1798 (2014)
    • (2014) NIPS , pp. 1790-1798
    • Xu, L.1    Ren, J.S.2    Liu, C.3    Jia, J.4
  • 13
    • 84945230598 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR, pp. 3431-3440 (2015)
    • (2015) CVPR , pp. 3431-3440
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 14
    • 84959184995 scopus 로고    scopus 로고
    • Learning to generate chairs with convolutional neural networks
    • Dosovitskiy, A., Tobias Springenberg, J., Brox, T.: Learning to generate chairs with convolutional neural networks. In: CVPR, pp. 1538-1546 (2015)
    • (2015) CVPR , pp. 1538-1546
    • Dosovitskiy, A.1    Tobias Springenberg, J.2    Brox, T.3
  • 15
    • 84898409537 scopus 로고    scopus 로고
    • Low-complexity singleimage super-resolution based on nonnegative neighbor embedding
    • Bevilacqua, M., Roumy, A., Guillemot, C., Morel, M.L.A.: Low-complexity singleimage super-resolution based on nonnegative neighbor embedding. In: BMVC (2012)
    • (2012) BMVC
    • Bevilacqua, M.1    Roumy, A.2    Guillemot, C.3    Morel, M.L.A.4
  • 16
    • 85023766712 scopus 로고    scopus 로고
    • Deep cascaded bi-network for face hallucination
    • Zhu, S., Liu, S., Loy, C.C., Tang, X.: Deep cascaded bi-network for face hallucination. In: ECCV (2016)
    • (2016) ECCV
    • Zhu, S.1    Liu, S.2    Loy, C.C.3    Tang, X.4
  • 17
    • 84990033963 scopus 로고    scopus 로고
    • Depth map super resolution by deep multi-scale guidance
    • Hui, T.W., Loy, C.C., Tang, X.: Depth map super resolution by deep multi-scale guidance. In: ECCV (2016)
    • (2016) ECCV
    • Hui, T.W.1    Loy, C.C.2    Tang, X.3
  • 18
    • 84986325587 scopus 로고    scopus 로고
    • Accurate image super-resolution using very deep convolutional networks
    • Kim, J., Lee, J.K., Lee, K.M.: 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
  • 19
    • 84986253618 scopus 로고    scopus 로고
    • Deeply-recursive convolutional network for image super-resolution
    • Kim, J., Lee, J.K., Lee, K.M.: Deeply-recursive convolutional network for image super-resolution. In: CVPR (2016)
    • (2016) CVPR
    • Kim, J.1    Lee, J.K.2    Lee, K.M.3
  • 20
    • 84937896655 scopus 로고    scopus 로고
    • Exploiting linear structure within convolutional networks for efficient evaluation
    • Denton, E.L., Zaremba, W., Bruna, J., LeCun, Y., Fergus, R.: Exploiting linear structure within convolutional networks for efficient evaluation. In: NIPS, pp. 1269-1277 (2014)
    • (2014) NIPS , pp. 1269-1277
    • Denton, E.L.1    Zaremba, W.2    Bruna, J.3    LeCun, Y.4    Fergus, R.5
  • 21
    • 84994604648 scopus 로고    scopus 로고
    • Accelerating very deep convolutional networks for classification and detection
    • Zhang, X., Zou, J., He, K., Sun, J.: Accelerating very deep convolutional networks for classification and detection. In: TPAMI (2015)
    • (2015) TPAMI
    • Zhang, X.1    Zou, J.2    He, K.3    Sun, J.4
  • 23
    • 84973911419 scopus 로고    scopus 로고
    • Delving deep into rectifiers: Surpassing humanlevel performance on imagenet classification
    • He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing humanlevel performance on imagenet classification. In: ICCV, pp. 1026-1034 (2015)
    • (2015) ICCV , pp. 1026-1034
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 24
    • 84906495121 scopus 로고    scopus 로고
    • Single-Image super-resolution: A benchmark
    • Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Yang, C.-Y., Ma, C., Yang, M.-H.: Single-Image super-resolution: a benchmark. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part IV. LNCS, vol. 8692, pp. 372-386. Springer, Heidelberg (2014)
    • (2014) ECCV 2014, Part IV. LNCS , vol.8692 , pp. 372-386
    • Yang, C.-Y.1    Ma, C.2    Yang, M.-H.3
  • 25
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: ICCV, vol. 2, pp. 416-423 (2001)
    • (2001) ICCV, vol. 2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 26
    • 84959188745 scopus 로고    scopus 로고
    • Single image super-resolution from transformed self-exemplars
    • Huang, J.B., Singh, A., Ahuja, N.: Single image super-resolution from transformed self-exemplars. In: CVPR, pp. 5197-5206 (2015)
    • (2015) CVPR , pp. 5197-5206
    • Huang, J.B.1    Singh, A.2    Ahuja, N.3
  • 28
    • 77951623771 scopus 로고    scopus 로고
    • Single-image super-resolution using sparse regression and natural image prior
    • Kim, K.I., Kwon, Y.: Single-image super-resolution using sparse regression and natural image prior. TPAMI 32(6), 1127-1133 (2010)
    • (2010) TPAMI , vol.32 , Issue.6 , pp. 1127-1133
    • Kim, K.I.1    Kwon, Y.2
  • 29
    • 28844464788 scopus 로고    scopus 로고
    • An information fidelity criterion for image quality assessment using natural scene statistics
    • Sheikh, H.R., Bovik, A.C., De Veciana, G.: An information fidelity criterion for image quality assessment using natural scene statistics. TIP 14(12), 2117-2128 (2005)
    • (2005) TIP , vol.14 , Issue.12 , pp. 2117-2128
    • Sheikh, H.R.1    Bovik, A.C.2    De Veciana, G.3


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