Image interpolation based on weighting function of Gaussian

Takuro Yamaguchi, Masaaki Ikehara, Yasuhiro Nakajima

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a new image interpolation method based on a 2-D piecewise stationary autoregressive (PAR) model. SAI, which defined PAR model, is a state-of-the-art method in image interpolation. It produces good quality restored images but has high calculation cost because of solving multiple least-square problems. Our method utilizes Gaussian function in estimating parameters instead of solving least-square problems and reduces the calculation cost. Moreover, parameters are estimated at each pixel, while they are estimated in each local window in SAI. By these improvements, the proposed method has equivalent quality to SAI with low calculation cost.

本文言語English
ホスト出版物のタイトルConference Record - Asilomar Conference on Signals, Systems and Computers
出版社IEEE Computer Society
ページ1193-1197
ページ数5
2016-February
ISBN(印刷版)9781467385763
DOI
出版ステータスPublished - 2016 2月 26
イベント49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
継続期間: 2015 11月 82015 11月 11

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
国/地域United States
CityPacific Grove
Period15/11/815/11/11

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 信号処理

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