计算机应用与软件2025，Vol.42Issue(4)：245-250,6.DOI:10.3969/j.issn.1000-386x.2025.04.035
基于双密度双树复数小波和模糊优化的声呐图像目标增强方法研究
TARGET ENHANCEMENT METHOD OF SONAR IMAGE BASED ON DUAL DENSITY DUAL TREE COMPLEX WAVELET AND FUZZY OPTIMIZATION
摘要
Abstract
In order to eliminate the influence of noise on sonar image and improve the recognition quality of sonar image,a method of dual-density dual-tree complex wavelet transform(DDDTCWT)and fuzzy optimization is proposed.The method eliminated the defect of losing practical information due to interval sampling by dual-tree structure,adopted the improved fuzzy optimization algorithm for the decomposed low-frequency components,and performed the dual-variable contraction function processing for the high-frequency components.The enhanced image was obtained through inverse wavelet transform.Experiments show that the proposed algorithm can better retain the details of the image,can make the image level more clear,and has a very good visual effect.The subjective effect and objective index of this algorithm are obviously better than other algorithms.关键词
双密度双树复数小波/模糊优化理论/声呐图像/目标增强Key words
DDDTCWT/Fuzzy optimization theory/Sonar image/Target enhancement分类
信息技术与安全科学引用本文复制引用
张静,胡健阳,段先华..基于双密度双树复数小波和模糊优化的声呐图像目标增强方法研究[J].计算机应用与软件,2025,42(4):245-250,6.基金项目
国家自然科学基金项目(61806087) （61806087）
江苏省研究生创新项目(SJCX20_1475). （SJCX20_1475）
