文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
为了达到多尺度分频解释的目的，本文将小波多分辨率分析应用到相干体提取过程中。
In order to attain the goal of using multi scale frequency divided data for interpretation, the paper applied the wavelet multi resolution analysis to detect the coherent data volume.
本文基于小波变换具有多尺度多分辨率分析的优点，提出了在特定的小波变换分频瞬时属性上，利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
本文基于小波变换具有多尺度多分辨率分析的优点，提出了在特定的小波变换分频瞬时属性上，利用局部结构熵算法来检测地震数据的局部不连续性。
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
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