Image Resolution Enhancement based on Curvelet Transform

被引：1

作者：

Haddad, Zehira ^{[1
]}

Tong, Adrien Chan Hon ^{[1
]}

Krahe, Jaime Lopez ^{[2
]}

机构：

[1] Off Natl Etud & Rech Aerosp, French Aerosp Lab, DTIM, Palaiseau, France

[2] Paris 8 Univ, CHART THIM, St Denis, Reunion, France

来源：

PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 4 | 2017年

关键词：

Image Super Resolution; Interpolation; Curvelet Transform; Stationary and Discrete Wavelet Transform; Image Fusion; INTERPOLATION;

D O I：

10.5220/0006127201670173

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an image resolution enhancement method based on Curvelet transform. This transform is used to decompose the input image into different subbands. After this decomposition, a nonlinear function is applied to the Curvelet coefficients in order to enhance the content of the different frequency subbands. These enhanced frequency subbands are then interpolated. We increase the enhancement results by a fusion of the obtained data and the interpolated input image. An image database is used for experiments. The visual results are showing the superiority of the proposed technique compared to two state-of-art image resolution enhancement techniques. These results have been confirmed by quantitative image quality metrics.

引用

页码：167 / 173

页数：7

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