バイラテラルフィルタを用いる再構成誤差最小化反復法による単一画像の超解像
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概要
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The use of a nonlinear filter for super-resolution of a single image is presented. A nonlinear iterative solution procedure is derived from an approximate Newton method for minimizing errors in low-resolution images reconstructed from estimated high-resolution images. We use the bilateral filter for image smoothing in the reconstruction steps. Our method was shown to produce high-resolution images without halos around edges and with enhanced fine textures.
- 2009-12-01
著者
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JIAN Chang
Faculty of Design, Kyushu University
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INOUE Kohei
Faculty of Design, Kyushu University
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URAHAMA Kiichi
Faculty of Design, Kyushu University
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Inoue Kohei
Faculty Of Design Kyushu University
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Jian Chang
Faculty Of Design Kyushu University
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Urahama Kiichi
Faculty Of Design Kyushu University
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Urahama Kiichi
Faculty Of Computer Science And Systems Engineering Kyushu Institute Of Technology
関連論文
- バイラテラルフィルタを用いる再構成誤差最小化反復法による単一画像の超解像
- 非等方バイラテラルフィルタによる画像再構成を利用する単一画像の超解像
- 非等方バイラテラルフィルタによる画像再構成を利用する単一画像の超解像
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