Parameter Optimization Of Fast Curvature Based Interpolation Using Genetic Algorithm Parameter Optimization Of Fast Curvature Based Interpolation Using Genetic Algorithm

نویسندگان

  • Muhammad Haris
  • Kazuhito Sawase
  • Takuya Sawada
  • Kazushi Kamijima
  • M. Rahmat Widyanto
  • Hajime Nobuhara
چکیده

An improvement of fast curvature based interpolation in image super resolution is proposed by using genetic algorithm optimization. The fast curvature based image super resolution requires low computation time, and it is suitable for real time video superresolution. This paper furthermore optimizes the parameters of FCBI based on genetic algorithm. Through the android device implementation, we confirm the quality of obtained super-resolution images by the proposed method is better than those of the existing methods without sacrificing the computational complexity.

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تاریخ انتشار 2012