| 基于边缘检测的提升小波图像去噪 |
| |
| 引用本文： | 林德贵.基于边缘检测的提升小波图像去噪[J].长春大学学报,2011(8):31-33. |
| |
| 作者姓名： | 林德贵 |
| |
| 作者单位： | 闽南理工学院 |
| |
| 摘 要： | 为了图像去噪的同时能很好地保持图像的细节,提出了一种基于边缘检测的提升小波图像去噪方法,先用Canny边缘检测方法得出原图像的边缘,提升小波去噪时就可用阈值去噪而不必担心损害图像的重要特征。其去噪步骤是：对噪声污染图像进行提升小波去噪;对含噪图像提取边缘图像;对去噪图像高频系数进行阈值处理进行重构变换;图像合并。实验结...
|
| 关 键 词： | 边缘检测 提升小波 图像去噪 |
Lifting Wavelet Image De-noising Based on Edge Detection |
| |
| LIN De-gui.Lifting Wavelet Image De-noising Based on Edge Detection[J].Journal of Changchun University,2011(8):31-33. |
| |
| Authors: | LIN De-gui |
| |
| Institution: | LIN De-gui(Minnan University of Science and Technology,Quanzhou 362700,China) |
| |
| Abstract: | In order to preserve image details while canceling image noise, this paper presents a lifting wavelet image de-noising method based on edge detection, which adopts the method of Canny edge detection to get the edge of the image, and uses a threshold in lifting wavelet de-noising without damaging image＇ s characters. The steps are as follows ： Carry out lifting wavelet de-nosing on noise pollution image ; Extract edge image from noise image; Reconstruct high frequency coefficient of de-noising image by thresholding operation ; Combine images. Experimental results show that the method can not only keep important information of images, but also can improve signal-to-noise ratio. |
| |
| Keywords: | edge detection lifting wavelet image de-noising |
| 本文献已被 CNKI 维普 等数据库收录！ |
