Parameter optimization of fast curvature based interpolation using genetic algorithm

Muhammad Haris, Kazuhito Sawase, Takuya Sawada, Kazushi Kamijima, Muhammad Rahmat Widyanto, Hajime Nobuhara

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Publication statusPublished - 1 Jan 2012
Event5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012 - Sapporo, Japan
Duration: 20 Aug 201223 Aug 2012

Conference

Conference5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012
Country/TerritoryJapan
CitySapporo
Period20/08/1223/08/12

Keywords

  • Android.
  • Fast Curvature Based Interpolation
  • Genetic Algorithm
  • Parameter Optimization
  • Super Resolution

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