Authors:
Zehira Haddad
1
;
Adrien Chan Hon Tong
1
and
Jaime Lopez Krahe
2
Affiliations:
1
ONERA, France
;
2
Paris 8 University, France
Keyword(s):
Image Super Resolution, Interpolation, Curvelet Transform, Stationary and Discrete Wavelet Transform, Image Fusion.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
Abstract:
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.