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《Acta Optica Sinica》 2004-09
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Image Fusion Based on Non-Separable Orthogonal Compact Supported Wavelet

Liu Bin 1,2 Peng Jiaxiong1 1 Institute of Image Recognction and Artifical Intelligence, Huazhong University of Science and Techology, Wuhan, 430074 2 School of Mathematics and computer Science, Hubei University, Wuhan 430062  
Image fusion method based on non-separable orthogonal compact supported wavelet is presented. First a non-separable wavelet 4-channels filter bank using the theory of non-separable wavelets is constructed. The images involing the fusion are decomposed by the filter bank. We use the fusion algorithm as follow: for low-frequency part, the average value is selected; for the three high-frequency parts of each level, the maximum of the absolute value of the pixel is selected, then the new image is reconstructed. The method's performance is evaluated by using the entropy, cross-entropy, mutual information, error of mean square root and peak signal to noise ratio. The experimental results show that it has good effect for the fusion of visible image and infrared image, far infrared image and near infrared image, remote sensing images, multi-focus images and many others class of images. The performance of the non-separable wavelet fusion method is close to the performance of the db2 separable wavelet fusion method.
【Fund】: 国家自然科学基金 (6 0 0 85 0 0 2 );; 精确制导与自动目标识别国防科技重点实验室基金 (5 14 830 4 0 10 3JW0 5 15 )资助课题。
【CateGory Index】: TN911.73
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