基于非亚采样contourlet算法的数字图像融合研究
igital Image Fusion Based On Non-subsampling contourlet Algorithm
本文首先介绍了图像融合的研究背景和研究意义,然后重点介绍了像素级图像融合方法中的小波变换法和非亚采样contourlet(NSCT)算法,将非亚采样的contourlet(NSCT)算法与空间域的非多尺度分解方法及变换域的小波变换法进行比较。通过图像融合效果的评价指标。运用严格配准后的多聚焦图像对上述算法进行MATLAB仿真实验,对仿真的结果进行对比,观察五种图像融合算法之间的实际效果。综合各项指标,得出基于NSCT的数字图像融合算法拥有最优的性能。
his paper first introduces the research background and significance of image fusion, then focuses on the wavelet transform method and non-subsampled controulet(NSCT) algorithm in pixel-level image fusion method, and compares non-subsampled contourlet(NSCT) algorithm with non-multiscale decomposition method in spatial domain and wavelet transform method in transform domain. Through the evaluation index of image fusion effect. MATLAB simulation experiments are carried out on the above algorithms by using the strictly registered multi-focus images, and the simulation results are compared to observe the actual effects among the five image fusion algorithms. According to various indexes, the digital image fusion algorithm based on NSCT has the best performance.
徐光宪、梁同、王延威
计算技术、计算机技术电子技术应用
图像融合小波变换NSCT
Image FusionWavelet TransformNSCT
徐光宪,梁同,王延威.基于非亚采样contourlet算法的数字图像融合研究[EB/OL].(2019-06-05)[2025-08-19].http://www.paper.edu.cn/releasepaper/content/201906-21.点此复制
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