中文说明：在轮廓波变换中进行拉普拉斯金字塔分解时，所得的带通图像在奇异性点附近产生振荡，影响了图像去噪的效果。针对该问题，提出一种改进的拉普拉斯金字塔分解，可消除边缘附近的震荡。利用改进的拉普拉斯金字塔实现轮廓波变换，并对图像进行自适应去噪。实验结果表明，该算法所得的峰值信噪比较轮廓波变换自适应去噪算法有显著提高，且视觉效果有较大改善
English Description：
When the Laplacian pyramid decomposition in the contourlet transform obtained from pass-band images near the singularity point Oscillation affect image denoising effect. To solve this problem, proposed a modified Laplacian pyramid decomposition, near the edge of the shock can be eliminated. Using the modified Laplacian pyramid contourlet transform and Adaptive image denoising. Experimental results show that the peak signal to noise ratio of this algorithm Adaptive denoising algorithm based on contourlet transform has significantly improved, and Visual effects has greatly improved