An Image Fusion Method Based on the Combination of Lifting Wavelet and Median Filter

Abstract:

At present, image fusion universally exists problem that fuzzy edge, sparse texture. To solve this problem, this study proposes an image fusion method based on the combination of Lifting Wavelet and Median Filter. The method adopts different fusion rules. For the low frequency coefficient, the low frequency scale coefficients have had the convolution do the square respectively to get enhanced edge of the image fusion. Then the details information of original image is extracted by measuring region characteristics. For high frequency coefficient, the high frequency parts are denoised by the Median Filter, and then neighborhood spatial frequency and consistency verification fusion rule is adopted to the fusion of detail sub-images. Compared with Weighted Average and Regional Energy , experimental results show that edge and texture information are the most. Method in study solves the fuzzy edge and sparse texture in a certain degree,which has strong practical value in image fusion.

• Periodical: Applied Mechanics and Materials (Volumes 530-531)
• Pages: 394-402
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.530-531.394
• Online since: February 2014
• Authors: Ze Tao Jiang, Li Wen Zhang*, Le Zhou
• Keywords: Enhanced Edge, Image Fusion, Lifting Wavelet, Median Filter

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