改进小波阈值图像去噪方法  

Improved Wavelet Threshold Image Denoising Method

作　　者：仲点点 吴杰[1] 余腾[1] 王翠 汤佩卿 Zhong Diandian;Wu Jie;Yu Teng;Wang Cui;Tang Peiqing(Suqian University,Suqian 223800,China)

机构地区：[1]宿迁学院,江苏宿迁223800

出　　处：《科学技术创新》2022年第26期84-87,共4页Scientific and Technological Innovation

基　　金：宿迁市科技局项目:倾斜摄影测量三维模型构建关键技术及其在房地产测量中的应用(Z2020130);宿迁学院大创项目:基于小波变换的图像去噪算法研究(2021XSJ077Y)。

摘　　要：小波去噪在图像去噪中使用较多,但传统硬、软阈值函数存在固定误差和难以连续等问题,导致去噪效果不尽如人意。为了更好地去噪,同时保持图像的细节,对阈值函数进行了改进。该方法通过改进阈值函数,对于不同的图像能够达到更好的去噪效果。仿真实验结果表明,改进阈值函数去噪方法与传统方法相比信噪比更高、结构更相似、误差指标更小,去噪效果更好。Wavelet denoising is widely used in image denoising,but the traditional hard and soft threshold functions have some problems such as fixed error and hard continuity,so the denoising effect is not satisfactory.In order to better denoise and keep the details of the image,the threshold function is improved.By improving the threshold function,this method can achieve better denoising effect for different images.The simulation results show that the improved threshold function denoising method has higher SNR,more similar structure,smaller error index and better denoising effect compared with the traditional method.

关 键 词：图像去噪方法 小波阈值去噪 改进阈值函数 

分 类 号：TN911.73[电子电信—通信与信息系统]