It introduces the features of wavelet transform, inducting the directional wavelet to realize characteristic pick-up of image. It gives the results of characteristic identification of character-figure for directional wavelet.
分析了小波变换的特点,引入方向小波来实现图像的特征提取,并给出方向小波变换在字符图形识别的结果。
参考来源 - 小波变换在图像处理中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
The merit of both shift invariance and directional selectivity enables the complex wavelet to overcome the artifacts in the discrete orthonormal wavelet denoising.
由于复数小波具备平移不变性和方向选择性等优点，使得它在图像去噪中可以克服离散正交小波变换去噪中存在的毛刺现象。
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