Parameter optimization of fast curvature based interpolation using genetic algorithm

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

Parameter optimization of fast curvature based interpolation using genetic algorithm

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

Department of Computer Science

Research output: Contribution to conference › Paper › peer-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 language	English
Publication status	Published - 2012
Event	5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012 - Sapporo, Japan Duration: 20 Aug 2012 → 23 Aug 2012

Conference

Conference	5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012
Country/Territory	Japan
City	Sapporo
Period	20/08/12 → 23/08/12

Keywords

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

Cite this

@conference{ef5ea841d00647c38cdf7a82f98e8571,

title = "Parameter optimization of fast curvature based interpolation using genetic algorithm",

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.",

keywords = "Android., Fast Curvature Based Interpolation, Genetic Algorithm, Parameter Optimization, Super Resolution",

author = "Muhammad Haris and Kazuhito Sawase and Takuya Sawada and Kazushi Kamijima and Widyanto, {Muhammad Rahmat} and Hajime Nobuhara",

year = "2012",

language = "English",

note = "5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012 ; Conference date: 20-08-2012 Through 23-08-2012",

}

TY - CONF

T1 - Parameter optimization of fast curvature based interpolation using genetic algorithm

AU - Haris, Muhammad

AU - Sawase, Kazuhito

AU - Sawada, Takuya

AU - Kamijima, Kazushi

AU - Widyanto, Muhammad Rahmat

AU - Nobuhara, Hajime

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Android.

KW - Fast Curvature Based Interpolation

KW - Genetic Algorithm

KW - Parameter Optimization

KW - Super Resolution

UR - http://www.scopus.com/inward/record.url?scp=84983109288&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84983109288

T2 - 5th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2012

Y2 - 20 August 2012 through 23 August 2012

ER -

Parameter optimization of fast curvature based interpolation using genetic algorithm

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this