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Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 1823-1831

Convolutional sparse coding for image super-resolution

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); COMPUTER VISION; CONVOLUTION; IMAGE CODING; IMAGE RECONSTRUCTION; OPTICAL RESOLVING POWER;

EID: 84973862709     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.212     Document Type: Conference Paper
Times cited : (391)

References (36)
  • 1
  • 3
    • 5044219639 scopus 로고    scopus 로고
    • Super-resolution through neighbor embedding
    • 1, 4, 7
    • H. Chang, D.-Y. Yeung, and Y. Xiong. Super-resolution through neighbor embedding. In CVPR, 2004. 1, 4, 7
    • (2004) CVPR
    • Chang, H.1    Yeung, D.-Y.2    Xiong, Y.3
  • 4
    • 84973876370 scopus 로고    scopus 로고
    • Insights into analysis operator learning: A view from higher-order filter-based mrf model
    • 1
    • Y. Chen, R. Ranftl, and T. Pock. Insights into analysis operator learning: A view from higher-order filter-based mrf model. IEEE Trans. on Image Processing, 2014. 1
    • (2014) IEEE Trans. on Image Processing
    • Chen, Y.1    Ranftl, R.2    Pock, T.3
  • 5
    • 84950145705 scopus 로고    scopus 로고
    • Deep network cascade for image super-resolution
    • 1
    • Z. Cui, H. Chang, S. Shan, B. Zhong, and X. Chen. Deep network cascade for image super-resolution. In ECCV. 2014. 1
    • (2014) ECCV
    • Cui, Z.1    Chang, H.2    Shan, S.3    Zhong, B.4    Chen, X.5
  • 6
    • 84921971467 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • 1, 7
    • C. Dong, C. C. Loy, K. He, and X. Tang. Learning a deep convolutional network for image super-resolution. In ECCV. 2014. 1, 7
    • (2014) ECCV
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 7
    • 34547702076 scopus 로고    scopus 로고
    • Image upsampling via imposed edge statistics
    • 1. ACM
    • R. Fattal. Image upsampling via imposed edge statistics. In ACM Transactions on Graphics (TOG), volume 26, page 95. ACM, 2007. 1
    • (2007) ACM Transactions on Graphics (TOG) , vol.26 , pp. 95
    • Fattal, R.1
  • 9
    • 77953187337 scopus 로고    scopus 로고
    • Super-resolution from a single image
    • 1
    • D. Glasner, S. Bagon, and M. Irani. Super-resolution from a single image. In ICCV, 2009. 1
    • (2009) ICCV
    • Glasner, D.1    Bagon, S.2    Irani, M.3
  • 10
    • 36348960733 scopus 로고    scopus 로고
    • Biconvex sets and optimization with biconvex functions: A survey and extensions
    • 6
    • J. Gorski, F. Pfeuffer, and K. Klamroth. Biconvex sets and optimization with biconvex functions: A survey and extensions. Mathematical Methods of Operations Research, 66(3):373-407, 2007. 6
    • (2007) Mathematical Methods of Operations Research , vol.66 , Issue.3 , pp. 373-407
    • Gorski, J.1    Pfeuffer, F.2    Klamroth, K.3
  • 11
    • 84874568878 scopus 로고    scopus 로고
    • Fast image super resolution via local regression
    • 1
    • S. Gu, N. Sang, and F. Ma. Fast image super resolution via local regression. In ICPR, 2012. 1
    • (2012) ICPR
    • Gu, S.1    Sang, N.2    Ma, F.3
  • 12
    • 84887371128 scopus 로고    scopus 로고
    • Beta process joint dictionary learning for coupled feature spaces with application to single image super-resolution
    • 1, 3, 5, 7
    • L. He, H. Qi, and R. Zaretzki. Beta process joint dictionary learning for coupled feature spaces with application to single image super-resolution. In CVPR, 2013. 1, 3, 5, 7
    • (2013) CVPR
    • He, L.1    Qi, H.2    Zaretzki, R.3
  • 13
    • 84937955536 scopus 로고    scopus 로고
    • Pewa: Patch-based exponentially weighted aggregation for image denoising
    • 2
    • C. Kervrann. Pewa: Patch-based exponentially weighted aggregation for image denoising. In NIPS, 2014. 2
    • (2014) NIPS
    • Kervrann, C.1
  • 15
    • 39149089704 scopus 로고    scopus 로고
    • Sparse representation for color image restoration
    • 2
    • J. Mairal, M. Elad, and G. Sapiro. Sparse representation for color image restoration. IEEE Trans. on Image Processing,, 17(1):53-69, 2008. 2
    • (2008) IEEE Trans. on Image Processing , vol.17 , Issue.1 , pp. 53-69
    • Mairal, J.1    Elad, M.2    Sapiro, G.3
  • 16
    • 84910002310 scopus 로고    scopus 로고
    • Image super-resolution with fast approximate convolutional sparse coding
    • Springer 2
    • C. Osendorfer, H. Soyer, and P. Van De r Smagt. Image super-resolution with fast approximate convolutional sparse coding. In Neural Information Processing, pages 250-257. Springer, 2014. 2
    • (2014) Neural Information Processing , pp. 250-257
    • Osendorfer, C.1    Soyer, H.2    Van De r Smagt, P.3
  • 17
    • 84901060118 scopus 로고    scopus 로고
    • A statistical prediction model based on sparse representations for single image super-resolution
    • 3
    • T. Peleg and M. Elad. A statistical prediction model based on sparse representations for single image super-resolution. IEEE trans. on image processing, 23(6):2569-2582, 2014. 3
    • (2014) IEEE Trans. on Image Processing , vol.23 , Issue.6 , pp. 2569-2582
    • Peleg, T.1    Elad, M.2
  • 18
    • 51949110386 scopus 로고    scopus 로고
    • Image super-resolution using gradient profile prior
    • 1
    • J. Sun, Z. Xu, and H.-Y. Shum. Image super-resolution using gradient profile prior. In CVPR, 2008. 1
    • (2008) CVPR
    • Sun, J.1    Xu, Z.2    Shum, H.-Y.3
  • 19
    • 77955992643 scopus 로고    scopus 로고
    • Super resolution using edge prior and single image detail synthesis
    • 1
    • Y.-W. Tai, S. Liu, M. S. Brown, and S. Lin. Super resolution using edge prior and single image detail synthesis. In CVPR, 2010. 1
    • (2010) CVPR
    • Tai, Y.-W.1    Liu, S.2    Brown, M.S.3    Lin, S.4
  • 20
    • 84898792173 scopus 로고    scopus 로고
    • Anchored neighborhood regression for fast example-based super-resolution
    • 7
    • R. Timofte, V. De, and L. V. Gool. Anchored neighborhood regression for fast example-based super-resolution. In ICCV, 2013. 7
    • (2013) ICCV
    • Timofte, R.1    De, V.2    Gool, L.V.3
  • 21
    • 84983684720 scopus 로고    scopus 로고
    • A+: Adjusted anchored neighborhood regression for fast super-resolution
    • 7 Springer
    • R. Timofte, V. De Smet, and L. Van Gool. A+: Adjusted anchored neighborhood regression for fast super-resolution. In Computer Vision-ACCV 2014, pages 111-126. Springer, 2014. 7
    • (2014) Computer Vision-ACCV 2014 , pp. 111-126
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 22
    • 84866652383 scopus 로고    scopus 로고
    • Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis
    • 1, 3
    • S. Wang, D. Zhang, Y. Liang, and Q. Pan. Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis. In CVPR, 2012. 1, 3
    • (2012) CVPR
    • Wang, S.1    Zhang, D.2    Liang, Y.3    Pan, Q.4
  • 23
    • 84905248194 scopus 로고    scopus 로고
    • Efficient convolutional sparse coding
    • 3, 4, 7
    • B. Wohlberg. Efficient convolutional sparse coding. In ICASSP, 2014. 3, 4, 7
    • (2014) ICASSP
    • Wohlberg, B.1
  • 25
    • 84955298423 scopus 로고    scopus 로고
    • Single-image superresolution: A benchmark
    • 2
    • C.-Y. Yang, C. Ma, and M.-H. Yang. Single-image superresolution: A benchmark. In ECCV. 2014. 2
    • (2014) ECCV
    • Yang, C.-Y.1    Ma, C.2    Yang, M.-H.3
  • 26
    • 84898787395 scopus 로고    scopus 로고
    • Fast direct super-resolution by simple functions
    • 1
    • C.-Y. Yang and M.-H. Yang. Fast direct super-resolution by simple functions. In ICCV, 2013. 1
    • (2013) ICCV
    • Yang, C.-Y.1    Yang, M.-H.2
  • 27
    • 84887347938 scopus 로고    scopus 로고
    • Fast image super-resolution based on in-place example regression
    • 1
    • J. Yang, Z. Lin, and S. Cohen. Fast image super-resolution based on in-place example regression. In CVPR, 2013. 1
    • (2013) CVPR
    • Yang, J.1    Lin, Z.2    Cohen, S.3
  • 28
    • 84866658673 scopus 로고    scopus 로고
    • Bilevel sparse coding for coupled feature spaces
    • 4
    • J. Yang, Z. Wang, Z. Lin, X. Shu, and T. Huang. Bilevel sparse coding for coupled feature spaces. In CVPR, 2012. 4
    • (2012) CVPR
    • Yang, J.1    Wang, Z.2    Lin, Z.3    Shu, X.4    Huang, T.5
  • 29
    • 51949105499 scopus 로고    scopus 로고
    • Image superresolution as sparse representation of raw image patches
    • 1, 2, 3, 4, 5, 6, 7
    • J. Yang, J. Wright, T. Huang, and Y. Ma. Image superresolution as sparse representation of raw image patches. In CVPR, 2008. 1, 2, 3, 4, 5, 6, 7
    • (2008) CVPR
    • Yang, J.1    Wright, J.2    Huang, T.3    Ma, Y.4
  • 30
    • 70450209196 scopus 로고    scopus 로고
    • Linear spatial pyramid matching using sparse coding for image classification
    • 2
    • J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009. 2
    • (2009) CVPR
    • Yang, J.1    Yu, K.2    Gong, Y.3    Huang, T.4
  • 32
    • 84856686379 scopus 로고    scopus 로고
    • Adaptive deconvolutional networks for mid and high level feature learning
    • 2
    • M. D. Zeiler, G. W. Taylor, and R. Fergus. Adaptive deconvolutional networks for mid and high level feature learning. In ICCV, 2011. 2
    • (2011) ICCV
    • Zeiler, M.D.1    Taylor, G.W.2    Fergus, R.3
  • 33
    • 84855655878 scopus 로고    scopus 로고
    • On single image scale-up using sparse-representations
    • 4, 7. Springer
    • R. Zeyde, M. Elad, and M. Protter. On single image scale-up using sparse-representations. In Curves and Surfaces, pages 711-730. Springer, 2012. 4, 7
    • (2012) Curves and Surfaces , pp. 711-730
    • Zeyde, R.1    Elad, M.2    Protter, M.3
  • 34
    • 84919792988 scopus 로고    scopus 로고
    • Fast stochastic alternating direction method of multipliers
    • 4
    • L. W. Zhong and J. T. Kwok. Fast stochastic alternating direction method of multipliers. In ICML, 2013. 4
    • (2013) ICML
    • Zhong, L.W.1    Kwok, J.T.2
  • 35
    • 84973884143 scopus 로고    scopus 로고
    • Single image superresolution using deformable patches
    • 3, 5, 7
    • Y. Zhu, Y. Zhang, and A. L. Yuille. Single image superresolution using deformable patches. In CVPR, 2012. 3, 5, 7
    • (2012) CVPR
    • Zhu, Y.1    Zhang, Y.2    Yuille, A.L.3
  • 36
    • 84856650948 scopus 로고    scopus 로고
    • From learning models of natural image patches to whole image restoration
    • 2
    • D. Zoran and Y. Weiss. From learning models of natural image patches to whole image restoration. In ICCV, 2011. 2
    • (2011) ICCV
    • Zoran, D.1    Weiss, Y.2


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