中值滤波和小波变换相结合的图像去噪研究（英文）  

Research on Image De-noising with Combination of Median Filtering and Wavelet Transformation

作　　者：方挺[1] 任文文[1] 

机构地区：[1]安徽工业大学,安徽马鞍山243032

出　　处：《无线互联科技》2016年第14期119-120,共2页Wireless Internet Technology

基　　金：the National Natural Science Foundation of China;item number:51007002

摘　　要：为了保持原始图像在去噪过程中的边缘信息,文章提出了小波变换与中值滤波相结合的办法来处理含噪图像。首先对含噪图像进行小波分解,然后用中值滤波和不同的阈值(硬阈值、软阈值)处理小波分解后的子频带。该方法在去噪的同时保留了图像的边缘信息。实验证明,该方法的去噪效果优于单独使用小波去噪或中值滤波的方法。To keep the edge information of the original image during filtering noises of the image, the wavelet transformation combining with the median filtering was employed to process images that containing complex noises. The original image containing complex noises was firstly divided by wavelet, and then its sub-images with different frequencies were processed by median filtering with different thresholds（soft and hard threshold）. This method maintained the edge information and denoised the noises of the image at the same time. The experiment proves that its result is better than that of applying wavelet transformation or median filtering only.

关 键 词：图像去噪 小波变换 中值滤波 小波变换与中值滤波相结合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]