基于双树复数小波和模糊理论的声呐图像目标增强方法  

Sonar Image Enhancement Method Based on Dual-tree Complex Wavelet Transform and Fuzzy Theory

作　　者：胡健阳 段先华 马启星 HU Jianyang;DUAN Xianhua;MA Qixing(School of Computer Science,Jiangsu University of Science and Technology,Zhenjiang 212000;School of Electronic Information,Jiangsu University of Science and Technology,Zhenjiang 212000)

机构地区：[1]江苏科技大学计算机学院,镇江212000 [2]江苏科技大学电子信息学院,镇江212000

出　　处：《计算机与数字工程》2023年第4期933-938,共6页Computer & Digital Engineering

摘　　要：为了提高声呐图像的质量,更好地消除噪声对声呐图像的影响,提出了一种基于双树复数小波和模糊理论的声呐图像降噪增强算法。通过双树结构消除了因间隔采样而丢失的实用信息,对高频系数实部和虚部分别依据各自的特性,将低于阈值的小波系数设为零,并将高于阈值的小波系数进行相应的收缩处理,对低频系数利用改进的模糊隶属函数可以对其细节进行增强。经实验验证,基于双树复数小波和模糊理论的算法能够较好地保留图像细节信息,提出的算法的客观指标明显优于其他算法,使图像的层次更加分明,并有很好的视觉效果。In order to improve the quality of the sonar image and better eliminate the impact of noise on the sonar image,an algorithm for reducing and increasing the noise of the sonar image based on the complex two-tree and fuzzy wavelet theory is proposed.The useful information that is lost due to spaced sampling is eliminated through the structure of two trees.The real part and the virtual part of the high frequency coefficients are treated separately with adaptive thresholds,according to their respective characteristics,and the details can be improved for the low frequency coefficients using the degree of obscured adhesion.It has been experimentally proven that the algorithm based on a complex wavelet of two trees and in the theory of obscurity is able to retain the information of details of the image.The objective index of the proposed algorithm is clearly superior to other contrast algorithms,which makes the image more hierarchical and has a good visual result.

关 键 词：降噪 双树复数小波 模糊对比度 图像增强 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]