给出了一种新的基于对比度塔形分解的分层图像融合方法。
A novel hierarchical image fusion scheme based on contrast pyramid decomposition is presented.
具体讨论了变换系数活跃度测量、变换系数融合方法、变换系数验证、帧变换分解深度等问题。
The concrete fusion process, such as activity level measurement, coefficient combination methods, consistency verification and decomposition depth are discussed in detail.
本文从连续图像出发，将二阶偏微分算子应用于影像函数，利用多重网格算子能得到近似影像的性质，得出一种多分辨影像分解的方法，经过图像重建过程得到融合影像。
Using the so-called approximation of image property by a multi-grid operator, we can derive a method of multi-resolution decomposition of the image, thus the fusion image is formed by reconstructing.
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