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


Kaiqun Hu, Xin Feng, Journal of Information Processing Systems Vol. 14, No. 5, pp. 1293-1300, Oct. 2018  

https://doi.org/10.3745/JIPS.04.0093
Keywords: Image fusion, Lifting Stationary Wavelet Transform, Normalized Cut, Transform of NSCT
Fulltext:

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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Cite this article
[APA Style]
Hu, K. & Feng, X. (2018). Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform. Journal of Information Processing Systems, 14(5), 1293-1300. DOI: 10.3745/JIPS.04.0093.

[IEEE Style]
K. Hu and X. Feng, "Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform," Journal of Information Processing Systems, vol. 14, no. 5, pp. 1293-1300, 2018. DOI: 10.3745/JIPS.04.0093.

[ACM Style]
Kaiqun Hu and Xin Feng. 2018. Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform. Journal of Information Processing Systems, 14, 5, (2018), 1293-1300. DOI: 10.3745/JIPS.04.0093.