现代电子技术2026，Vol.49Issue(3)：31-35,5.DOI:10.16652/j.issn.1004-373x.2026.03.006
自适应小波阈值函数在图像增强中的应用研究
Research on application of self-adaptive wavelet threshold function in image enhancement
摘要
Abstract
Conventional wavelet thresholding algorithms exhibit issues of non-smoothness and discontinuity at the threshold position during wavelet transformation,leading to the loss of image details and poor enhancement effects when processing noisy images.In view of this,a self-adaptive wavelet threshold function based on the softsign(x)function is reconstructed.This function alleviates the gradient vanishing effectively.In addition,a contraction factor is introduced,and self-adaption adjustment is carried out according to the number of wavelet decomposition layers to distinguish between useful information and noise accurately,thereby enhancing the image enhancement effect.Comparisons were made between conventional threshold functions and other improved threshold functions by simulation experiments.The results indicate that the self-adaptive wavelet threshold function proposed in this study has a significant effect in denoising and enhancing image details,and can effectively enhance the edge and texture information of noisy images,outperforming the other methods.关键词
图像增强/小波变换/自适应小波阈值函数/含噪图像去噪/softsign(x)/收缩因子Key words
image enhancement/wavelet transform/self-adaptive wavelet threshold function/noisy image denoising/softsign(x)/contraction factor分类
信息技术与安全科学引用本文复制引用
翁瀚尧,田慧会..自适应小波阈值函数在图像增强中的应用研究[J].现代电子技术,2026,49(3):31-35,5.基金项目
国家自然科学基金面上项目(42072312) （42072312）
