兵工自动化2025，Vol.44Issue(9)：28-31,4.DOI:10.7690/bgzdh.2025.09.006
基于多尺度滤波的图像多频细节特征增强方法
Image Multi-frequency Detail Feature Enhancement Method Based on Multi-scale Filtering
摘要
Abstract
In order to improve the visual effect and detail expression of the image,a method of image multi-frequency detail feature enhancement based on multi-scale filtering is proposed.The gray level transformation and denoising are applied to the image,and the bilateral filter is used to divide the preprocessed image into a low-frequency background layer image and a high-frequency detail layer image,covering the multi-frequency detail features from contour to texture.For the image enhancement processing of two scales,the two are fused by the fusion method,and the complete detail enhanced image is obtained.The experimental results show that the information entropy and the average gradient data of this method are higher,the information entropy is 5.969 5 bit,and the average gradient is 0.022 5.It exhibits good performance in multi-frequency detail feature extraction and enhancement,and has advantages in the richness of detail information and the clarity of detail edge.关键词
多尺度滤波/图像/预处理/多频细节特征增强/尺度分层Key words
multi-scale filtering/images/preprocessing/multi frequency detail feature enhancement/multi-scale layering分类
信息技术与安全科学引用本文复制引用
王禾..基于多尺度滤波的图像多频细节特征增强方法[J].兵工自动化,2025,44(9):28-31,4.基金项目
浙江省自然科学基金项目(LR22F020002) （LR22F020002）
国家艺术基金(2024-A-04-099-492) （2024-A-04-099-492）
浙江省高等学校访问工程师校企合作项目(FG2023293) （FG2023293）
