海南热带海洋学院学报2025，Vol.32Issue(5)：76-90,15.DOI:10.13307/j.issn.2096-3122.2025.05.09
基于离散小波分解和改进的AGCWD算法的声呐图像对比度增强
Contrast Enhancement of Sonar Images Based on Discrete Wavelet Decomposition and Improved AGCWD Algorithm
摘要
Abstract
Due to the influence of the imaging mechanism,seafloor sonar images often have low contrast,which se-riously affects the manual interpretation and automatic recognition of sonar images.Therefore,improving the contrast of so-nar images is a necessary step in some cases.The adaptive gamma correction with weighted distribution(AGCWD)algo-rithm is often used to enhance the contrast of optical images,but it fails to enhance sonar images adequately.This pa-per identified the deficiencies of the control parameters and mapping functions in the AGCWD algorithm and proposed an improved version.Discrete wavelet decomposition was applied to decompose the original sonar image into low-frequency and high-frequency components.The improved AGCWD algorithm was used to enhance the low-frequency component,and the contrast-enhanced sonar image was obtained by reconstruction.The experimental results showed that the proposed method outperforms Histogram Equalization(HE),the gamma correction,and the original AGCWD algorithm in terms of contrast enhancement and image edge preservation.关键词
小波分解/声呐图像/对比度增强/伽马矫正Key words
wavelet decomposition/sonar image/contrast enhancement/gamma correction分类
信息技术与安全科学引用本文复制引用
黄显辉,田原嫄,郭海涛..基于离散小波分解和改进的AGCWD算法的声呐图像对比度增强[J].海南热带海洋学院学报,2025,32(5):76-90,15.基金项目
海南省自然科学基金项目(420CXTD439) （420CXTD439）
三亚市科技创新专项(2022KJCX83) （2022KJCX83）
国家自然科学基金项目(61661038) （61661038）
