Single frame super-resolution using multiple graph structured program

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Yusuke Natsui and Tomoharu Nagao",
  booktitle =    "2016 IEEE 9th International Workshop on Computational
                 Intelligence and Applications (IWCIA)",
  title =        "Single frame super-resolution using multiple graph
                 structured program",
  year =         "2016",
  pages =        "75--80",
  abstract =     "Single frame Super-Resolution (SR) is a technique to
                 generate a high-resolution (HR) image from one
                 low-resolution (LR) image. Generally, single frame SR
                 has trade-off between image quality and computational
                 cost. In this paper, we propose a single frame SR
                 method using multiple graph structured programs based
                 on Cartesian Genetic Programming (CGP). In order to
                 improve the trade-off, we use low computational cost
                 graphs which are constructed from HR and LR images. We
                 constructed each graph structured program
                 simultaneously. Experimental result shows the
                 effectiveness of combining multiple graph structured
                 programs. We present a fast and good quality SR method
                 using multiple programs.",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  DOI =          "doi:10.1109/IWCIA.2016.7805752",
  month =        nov,
  notes =        "Also known as \cite{7805752}",

Genetic Programming entries for Yusuke Natsui Tomoharu Nagao