An efficient convolution interpolation kernel for digital image scaling

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概要

• 論文の詳細を見る

• This paper presents an efficient extended linear convolution interpolation method for efficient scaling. The kernel of the extended linear convolution interpolation is built up of first-order polynomial and approximates the ideal sinc-function in interval [-2, 2]. The approach reduces the computational complexity of interpolation and the interpolation quality is compatible to that of bi-cubic convolution interpolations.

• （社）電子情報通信学会の論文

著者

• Sheu Ming-hwa

  Graduate School Of Engineering Science And Technology National Yunlin University Of Science & Te

• Lin Chung-chi

  Graduate School of Engineering Science and Technology, National Yunlin University of Science and Tec

• Chiang Huann-keng

  Graduate School of Engineering Science and Technology, National Yunlin University of Science and Tec

• Liaw Chishyan

  Department of Computer Science, Tunghai University

• Wu Zeng-chuan

  Department of Electronic Engineering, National Yunlin University of Science and Technology

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