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Volumn 2017-July, Issue , 2017, Pages 1093-1099

Fast and Accurate Image Super-Resolution Using a Combined Loss

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER VISION; DEEP NEURAL NETWORKS; IMAGE ENHANCEMENT; IMAGE PROCESSING; OPTICAL RESOLVING POWER; PATTERN RECOGNITION; RESTORATION;

EID: 85030238477     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2017.147     Document Type: Conference Paper
Times cited : (10)

References (37)
  • 3
    • 85030214395 scopus 로고    scopus 로고
    • Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration
    • Y. Chen and T. Pock. Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.
    • (2016) IEEE Transactions on Pattern Analysis and Machine Intelligence
    • Chen, Y.1    Pock, T.2
  • 4
    • 84906484697 scopus 로고    scopus 로고
    • Learning a deep convolutional network for image super-resolution
    • Springer
    • C. Dong, C. C. Loy, K. He, and X. Tang. Learning a deep convolutional network for image super-resolution. In European Conference on Computer Vision, pages 184-199. Springer, 2014.
    • (2014) European Conference on Computer Vision , pp. 184-199
    • Dong, C.1    Loy, C.C.2    He, K.3    Tang, X.4
  • 6
    • 0018506597 scopus 로고
    • Lanczos filtering in one and two dimensions
    • C. E. Duchon. Lanczos filtering in one and two dimensions. Journal of Applied Meteorology, 18 (8):1016-1022, 1979.
    • (1979) Journal of Applied Meteorology , vol.18 , Issue.8 , pp. 1016-1022
    • Duchon, C.E.1
  • 7
    • 79955668981 scopus 로고    scopus 로고
    • Image and video upscaling from local self-examples
    • G. Freedman and R. Fattal. Image and video upscaling from local self-examples. ACM Transactions on Graphics (TOG), 30 (2):12, 2011.
    • (2011) ACM Transactions on Graphics (TOG) , vol.30 , Issue.2 , pp. 12
    • Freedman, G.1    Fattal, R.2
  • 13
    • 84990854047 scopus 로고    scopus 로고
    • Perceptual losses for real-time style transfer and super-resolution
    • Springer
    • J. Johnson, A. Alahi, and L. Fei-Fei. Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision, pages 694-711. Springer, 2016.
    • (2016) European Conference on Computer Vision , pp. 694-711
    • Johnson, J.1    Alahi, A.2    Fei-Fei, L.3
  • 16
    • 77951623771 scopus 로고    scopus 로고
    • Single-image super-resolution using sparse regression and natural image prior
    • K. I. Kim and Y. Kwon. Single-image super-resolution using sparse regression and natural image prior. IEEE transactions on pattern analysis and machine intelligence, 32 (6):1127-1133, 2010.
    • (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.32 , Issue.6 , pp. 1127-1133
    • Kim, K.I.1    Kwon, Y.2
  • 25
    • 79957490936 scopus 로고    scopus 로고
    • Gradient profile prior and its applications in image super-resolution and enhancement
    • J. Sun, Z. Xu, and H.-Y. Shum. Gradient profile prior and its applications in image super-resolution and enhancement. IEEE Transactions on Image Processing, 20 (6):1529-1542, 2011.
    • (2011) IEEE Transactions on Image Processing , vol.20 , Issue.6 , pp. 1529-1542
    • Sun, J.1    Xu, Z.2    Shum, H.-Y.3
  • 30
    • 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 Asian Conference on Computer Vision, pages 111-126. Springer, 2014.
    • (2014) Asian Conference on Computer Vision , pp. 111-126
    • Timofte, R.1    De Smet, V.2    Van Gool, L.3
  • 37
    • 70350716279 scopus 로고    scopus 로고
    • A super-resolution reconstruction algorithm for surveillance images
    • L. Zhang, H. Zhang, H. Shen, and P. Li. A super-resolution reconstruction algorithm for surveillance images. Signal Processing, 90 (3):848-859, 2010.
    • (2010) Signal Processing , vol.90 , Issue.3 , pp. 848-859
    • Zhang, L.1    Zhang, H.2    Shen, H.3    Li, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.