摘要
文章分析传统软、硬阈值函数在图像去噪中的缺陷,提出了一个基于连续阈值函数的小波去噪方法.采用不同阈值函数的去噪方法对图像进行去噪处理,结果表明:基于连续阈值函数的方法的去噪效果优于其他非连续阈值函数的去噪方法.
The traditional soft and hard threshold function’s defects in image denoising are analyzed. A threshold function based on continuous wavelet denoising method is proposed. Using different threshold function of denoising method to deal with the noised image, the experiment results show that the method based on continuous threshold function in the de-noising effect is better than the methods based on discontinuous threshold function.
出处
《汕头大学学报(自然科学版)》
2013年第4期66-74,共9页
Journal of Shantou University:Natural Science Edition
关键词
小波变换
连续阈值函数
图像去噪
均方误差
峰值信噪比
wavelet transform
continuous threshold function
image denoising
mean square error
peak signal to noise ratio