计算机与数字工程2025，Vol.53Issue(3)：811-814,839,5.DOI:10.3969/j.issn.1672-9722.2025.03.033
基于块匹配改进和维纳滤波优化的BM3D降噪算法
BM3D Noise Reduction Algorithm Based on Improved Block Matching and Wiener Filter Optimization
摘要
Abstract
A BM3D denoising algorithm based on improved block matching and Wiener filter optimization is proposed to over-come the shortcomings of the BM3D denoising algorithm,which is greatly affected by noise and lacks the protection of image edge texture information.Firstly,in the basic estimation stage,a new block similarity measure is used to replace the Euclidean distance to match similar blocks.The new block similarity measure takes into account the noise characteristics contained in the observed im-age,so as to ensure the accuracy of block matching in the presence of high-intensity noise.Then in the final estimation stage,Wie-ner filtering is improved by maximizing the structural similarity(SSIM)between the real image and the estimated image.It achieves the effect of not only effectively denoising,but also protecting the image edge,texture and other details.The experimental results show that under the same experimental conditions,the peak signal-to-noise ratio of the new algorithm is increased by 0.84 dB on av-erage compared with BM3D algorithm,and the image structure similarity is increased by 1.08 times on average.关键词
块匹配/BM3D/图像降噪/维纳滤波Key words
block matching/BM3D/image denoising/wiener filtering分类
信息技术与安全科学引用本文复制引用
曹阳,周先春,王文艳,杨传兵..基于块匹配改进和维纳滤波优化的BM3D降噪算法[J].计算机与数字工程,2025,53(3):811-814,839,5.基金项目
国家自然科学基金项目(编号:11202106,61302188)资助. （编号:11202106,61302188）
