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Volumn 2017-September, Issue , 2017, Pages 1702-1706

Compressive image recovery using recurrent generative model

Author keywords

Compressive imaging; Deep learning; Generative models; LSTMs; MAP inference

Indexed keywords

COMPRESSED SENSING; COMPUTER VISION; GRADIENT METHODS; IMAGE COMPRESSION; IMAGE RECONSTRUCTION; RECURRENT NEURAL NETWORKS; TEXTURES;

EID: 85045328964     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2017.8296572     Document Type: Conference Paper
Times cited : (18)

References (20)
  • 8
    • 84890146735 scopus 로고    scopus 로고
    • An efficient augmented lagrangian method with applications to total variation minimization
    • Chengbo Li, Wotao Yin, Hong Jiang, and Yin Zhang, "An efficient augmented lagrangian method with applications to total variation minimization, " Computational Optimization and Applications, vol. 56, no. 3, pp. 507-530, 2013.
    • (2013) Computational Optimization and Applications , vol.56 , Issue.3 , pp. 507-530
    • Li, C.1    Yin, W.2    Jiang, H.3    Zhang, Y.4
  • 20
    • 55149117992 scopus 로고    scopus 로고
    • Learning multiscale sparse representations for image and video restoration
    • Julien Mairal, Guillermo Sapiro, and Michael Elad, "Learning multiscale sparse representations for image and video restoration, " Multiscale Modeling & Simulation, vol. 7, no. 1, pp. 214-241, 2008.
    • (2008) Multiscale Modeling & Simulation , vol.7 , Issue.1 , pp. 214-241
    • Mairal, J.1    Sapiro, G.2    Elad, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.