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    基于小波四叉树的图像去噪方法

    IMAGE RESTORATION BASED ON SPATIAL ORIENTATION TREE

    • 摘要: 噪声对图像分析、图像压缩的性能有严重的影响 .经典的图像滤波器在抑制噪声的同时会丢失图像中的细节 .分析了噪声在小波变换下 ,二进小波变换的极大值在不同尺度下的传播特性之间的关系 ,并构造了一个一般形式的检测噪声点的四叉树 .通过对四叉树的遍历 ,对图像中椒盐噪声点和高斯噪声的极大值点进行多尺度的定位 .实验证明这种方法能有效去除图像噪声 ,最大限度地保存图像的细节

       

      Abstract: Noise has an important effect on image analysis and image compression. Classical filters can restrain it with the loss of image details. The transmission characteristic of signal’s peak value in multi resolution wavelet transforms is analyzed and a spatial orientation tree is constructed. Then, the peak value points of the pepper salt noise or Gauss noise can be located with multi resolution by going through the hierarchical tree. Experiment shows that this method can restore image with minimum image details loss.

       

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