分析了图像信号相位信息的空间特性，以人脸图像为例，研究了相位信息在图像特征定位中的应用。
The space characteristic of phase information of image signal is analysed, and using face image as an example, the application of phase information in image feature location is studied.
依据信号与噪声的小波变换在不同分辨率下呈现不同特性的特点，提出了多分辨率支集图像低通滤波方法。
Multiresolution support for lowpass filtering is introduced according to different property of wavelet transform for signal and noisy at different scale.
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.
根据电视图像的相关特性，对PAL信号的三维谱结构及其特征进行了数学分析。
According to the correlation of TV image, the structure and characteristic of three dimensional spectrum in PAL TV signals is mathematically analyzed.
再通过计算曲线的统计特性作为图像间待匹配特征，并由信号相关的度量方法粗估计出图像间全局仿射变换参数。
After calculating the statistical information of curves as matching features, we can evaluate the coarse affine transformation parameters using simple correlation measure.
再通过计算曲线的统计特性作为图像间待匹配特征，并由信号相关的度量方法粗估计出图像间全局仿射变换参数。
After calculating the statistical information of curves as matching features, we can evaluate the coarse affine transformation parameters using simple correlation measure.
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