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Vol. 161, Issue 12, December 2013, pp. 14-20




Digital Image Fusion Algorithm Based on Contourlet Wavelet Transform
Heng CHEN, Yaxuan WANG

School of Software, Dalian International Studies University, Liaoning, 116044, China
E-mail: hengyv@163.com


Received: 16 October 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: This paper studies the evaluation criteria of two-dimensional discrete wavelet, two-dimensional discrete stationary wavelet and image fusion. By analyzing the contourlet algorithm of the wavelet transform, it conducts the simulation analog experiments of wavelet transformation and the effect evaluation of fusion image to get the results. It finds that the amount of information contained in the image fusion of wavelet transformation is larger and the quality of the fused image is better. Wavelet Transform in the spatial domain and the time domain can achieve resolution to adapt high and low frequency part of the image. The two-dimensional wavelet of images has the pyramid-shaped structure with multi-resolution decomposition. According to the need, extract the low-frequency component and a profile in the case of the images' different resolutions (scales) and the detailed high frequency components of vertical, horizontal and diagonal directions.


Keywords: Wavelet transform, Fusion, Image reconstruction, Evaluation criteria.


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