Parameter optimization of fast curvature based interpolation using genetic algorithm

Parameter optimization of fast curvature based interpolation using genetic algorithm
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发表时间：
2012
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通讯作者：
Muhammad Haris;Kazuhito Sawase;H. Nobuhara;T. Sawada;Kazushi Kamijima;Widyanto M. Rahmat
Muhammad Haris;Kazuhito Sawase;H. Nobuhara;T. Sawada;Kazushi Kamijima;Widyanto M. Rahmat
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文献类型：
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作者：
Muhammad Haris;Kazuhito Sawase;H. Nobuhara;T. Sawada;Kazushi Kamijima;Widyanto M. Rahmat

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: 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 super-resolution. 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.