计算机与数字工程2024，Vol.52Issue(2)：528-534,7.DOI:10.3969/j.issn.1672-9722.2024.02.042
一种基于BM3D算法改进的图像去噪方法
An Improved Image Denosing Method Based on BM3D Algorithm
摘要
Abstract
In the field of image processing,the Block-matching and 3D filtering(BM3D)combines relevant characteristics of spatial domain and frequency domain,and it is one of the best image denoising algorithms at present.Because the algorithm has time-consuming computation,inaccurate extraction of similar blocks and inability to extract similar features with different distribu-tions in segmentation blocks,the paper proposes a method of dimensionality reduction of image information based on Radon trans-form,and judges similar block information by solving variance value of dimensionality reduction function and coordinating location of maximum variance.And then the pixel mean ratio of each similar block relative to the reference block is calculated and scaled for denoising.The experimental results show that compared with the original algorithm,the running time of the denoised image is short-er and the image quality is improved.关键词
图像去噪/近似块匹配/BM3D/Radon变换Key words
image denoising/approximate block matching/BM3D/Radon transform分类
信息技术与安全科学引用本文复制引用
昝明远,周先春,王心晔,张浩瑀..一种基于BM3D算法改进的图像去噪方法[J].计算机与数字工程,2024,52(2):528-534,7.基金项目
国家自然科学基金项目(编号:11202106,61302188) （编号:11202106,61302188）
江苏省"信息与通信工程"优势学科建设项目资助. （）
