基于改进阈值函数的小波图像去噪方法研究  

Research on Wavelet Image Denoising Method Based on Improved Threshold Function

作　　者：韩云龙 Han Yunlong(Department of Basic Science and Technology,Shenyang Institute of Science and Technology,Shenyang,Liaoning 110167)

机构地区：[1]沈阳科技学院基础部,辽宁沈阳110167

出　　处：《现代工程科技》2023年第9期101-104,共4页Modern Engineering Technology

基　　金：辽宁省教育厅高校基本科研项目(LJKMZ20221993)。

摘　　要：本文提出一种改进的阈值函数公式,该函数与硬阈值函数相比是连续的,函数中引进了指数函数,可以有效地避免出现软阈值函数的过收缩,添加的调和因子也可以帮助研究者根据不同图像的特征,灵活地在软阈值函数和硬阈值函数之间调整,从而根据实际需要得到去噪后的图像。仿真实验表明,利用改进的阈值函数对图像进行去噪,去噪后的图像在去噪效果和细节特征的保留方面,要优于软、硬阈值函数去噪。This paper an improved threshold function formula is proposed,which is continuous compared with the hard threshold function,and the exponential function is introduced into the function,which can effectively avoid the overcontraction of the soft threshold function,and the added harmonic factor can also help us flexibly adjust between the soft threshold function and the hard threshold function according to the characteristics of different images,so as to obtain the denoising image according to actual needs.Simulation experiments show that the improved threshold function is used to denoise the image,and the denoising image is better than the soft and hard threshold function denoising in terms of denoising effect and detail feature retention.

关 键 词：小波变换 阈值函数 图像去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]