메뉴 건너뛰기




Volumn 2015-February, Issue , 2016, Pages 57-65

Learning a Deep Convolutional Network for Light-Field Image Super-Resolution

Author keywords

Cameras; Image restoration; Lenses; Neural networks; Spatial resolution

Indexed keywords

CAMERAS; COMPUTER VISION; CONVOLUTION; DEEP NEURAL NETWORKS; IMAGE ENHANCEMENT; IMAGE RESOLUTION;

EID: 84962026650     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2015.17     Document Type: Conference Paper
Times cited : (150)

References (33)
  • 19
    • 84878314906 scopus 로고    scopus 로고
    • Lytro. 1
    • Lytro. The lytro camera. http://www.lytro.com/. 1
    • The Lytro Camera
  • 23
    • 80052875995 scopus 로고    scopus 로고
    • Space-time superresolution from a single video
    • 8
    • O. Shahar, A. Faktor, and M. Irani. Space-time superresolution from a single video. In CVPR, 2011. 8
    • (2011) CVPR
    • Shahar, O.1    Faktor, A.2    Irani, M.3
  • 24
    • 84920748299 scopus 로고    scopus 로고
    • Light field reconstruction using sparsity in the continuous fourier domain
    • 2
    • L. Shi, H. Hassanieh, A. Davis, D. Katabi, and F. Durand. Light field reconstruction using sparsity in the continuous fourier domain. ACM Transactions on Graphics, 34(1):12, 2014. 2
    • (2014) ACM Transactions on Graphics , vol.34 , Issue.1 , pp. 12
    • Shi, L.1    Hassanieh, H.2    Davis, A.3    Katabi, D.4    Durand, F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.