Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform|RISS 상세보기

다국어 초록 (Multilingual Abstract)

For the disadvantages of multi-scale geometric analysis methods such as loss of definition and complex selection of rules in image fusion, an improved multi-focus image fusion method is proposed. First, the initial fused image is quickly obtained based on the lifting stationary wavelet transform, and a simple normalized cut is performed on the initial fused image to obtain different segmented regions. Then, the original image is subjected to NSCT transformation and the absolute value of the high frequency component coefficient in each segmented region is calculated. At last, the region with the largest absolute value is selected as the postfusion region, and the fused multi-focus image is obtained by traversing each segment region. Numerical experiments show that the proposed algorithm can not only simplify the selection of fusion rules, but also overcome loss of definition and has validity.

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참고문헌 (Reference)

1 L. Demanet, "Wave atoms and sparsity of oscillatory patterns" 23 (23): 368-387, 2007

2 H. Zheng, "Visible and infrared image fusion algorithm based on shearlet transform" 33 (33): 1613-1619, 2012

3 W. Zhang, "The fusion of remote sensing images based on lifting wavelet transformation" 2 (2): 69-75, 2009

4 T. Cour, "Spectral segmentation with multiscale graph decomposition" 1124-1131, 2005

5 S. Li, "Performance comparison of different multi-resolution transforms for image fusion" 12 (12): 74-84, 2011

6 B. Liu, "Multi-focus image fusion based on three channel nonseparable symmetrical wavelets" 33 (33): 1110-1116, 2012

7 Q. Miao, "Multi-focus image fusion algorithm based on shearlets" 9 (9): 2011

8 G. Qu, "Information measure for performance of image fusion" 38 (38): 313-315, 2002

9 G. Wang, "Algorithm for image fusion in the curvelet transform domain" 29 (29): 1841-1845, 2008