Laplacian image edge detection based on secondary-sampling wavelet transform

To overcome the drawbacks of the Laplacian model when there are many noise points in the image, a new Laplacian method of extracting image edge based on the secondary-sampling wavelet transform proposed in this paper. The secondary-sampling wavelet transform was explored to generate the gradient image, and the Laplacian was employed to detect the image edge. Experimental results demonstrate that the proposed method could efficiently restrain the noise, and clearly extract the real image edge. the proposed method is propitious to consummate the Laplacian.