ISMORE

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<meta name="title" content="SMORE & iSMORE: Single Image Super-Resolution"/>

Synthetic Multi-Orientation Resolution Enhancement (SMORE)

Synthetic Multi-Orientation Resolution Enhancement (SMORE) and its iterative variant (iSMORE) are single image super-resolution techniques. Some of the associated publication are:

  • C. Zhao, M. Shao, A. Carass, H. Li, B.E. Dewey, L.M. Ellingsen, J. Woo, M.A. Guttman, A.M. Blitz, M. Stone, P.A. Calabresi, H. Halperin, and J.L. Prince, "Applications of a deep learning method for anti-aliasing and super-resolution in MRI", Mag. Reson. Im., 64:132-141, 2019. DOI: "Applications of a deep learning method for anti-aliasing and super-resolution in MRI" (PubMed)
  • C. Zhao, S. Son, Y. Kim, and J.L. Prince, "iSMORE: An Iterative Self Super-Resolution Algorithm", 130-139, Simulation and Synthesis in Medical Imaging (SASHIMI 2019) held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China, October 13–17, 2019. DOI: "iSMORE: An Iterative Self Super-Resolution Algorithm"