Research on the Multi-Focus Image Fusion Method Based on the Lifting Stationary Wavelet Transform
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초록
For the disadvantages of multi-scale geometric analysis methods such as loss of definition and complexselection of rules in image fusion, an improved multi-focus image fusion method is proposed. First, the initialfused image is quickly obtained based on the lifting stationary wavelet transform, and a simple normalized cutis performed on the initial fused image to obtain different segmented regions. Then, the original image issubjected to NSCT transformation and the absolute value of the high frequency component coefficient ineach segmented region is calculated. At last, the region with the largest absolute value is selected as the postfusionregion, and the fused multi-focus image is obtained by traversing each segment region. Numericalexperiments show that the proposed algorithm can not only simplify the selection of fusion rules, but alsoovercome loss of definition and has validity.
Abstract
For the disadvantages of multi-scale geometric analysis methods such as loss of definition and complexselection of rules in image fusion, an improved multi-focus image fusion method is proposed. First, the initialfused image is quickly obtained based on the lifting stationary wavelet transform, and a simple normalized cutis performed on the initial fused image to obtain different segmented regions. Then, the original image issubjected to NSCT transformation and the absolute value of the high frequency component coefficient ineach segmented region is calculated. At last, the region with the largest absolute value is selected as the postfusionregion, and the fused multi-focus image is obtained by traversing each segment region. Numericalexperiments show that the proposed algorithm can not only simplify the selection of fusion rules, but alsoovercome loss of definition and has validity.
참고문헌 (9)
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