A Pyramid Transform of Image Denoising Algorithm Based on Morphology
基于数学形态学的金字塔图像去噪

An image de-noising algorithm based on adaptive-lifting laplacian pyramid transform and mathematical morphology was proposed.The source image was decomposed by the adaptive lifting Laplacian Pyramid.According to the statistics of the transform coefficients of natural image,the morphological dilation operator was applied to extract the clustered significant coefficients in each subband resulting in the partitioning of each subband into significance clusters and insignificance space.The smoothing image of the input image was obtained using the wavelet threshold-denoising method whose threshhold was different in different subsets.Two subsets,and reconstruction image were combined.The experiment results demonstrate that the algorithm can denoise effectively,and keep the detail information.The method can improve the signal-to-noise ratio.