表面波和Retinex结合的水声图像增强方法

doi:10.3969/j.issn.0255-8297.2012.05.011

应用科学学报 ›› 2012, Vol. 30 ›› Issue (5): 505-510.doi: 10.3969/j.issn.0255-8297.2012.05.011

表面波和Retinex结合的水声图像增强方法

付强1，李一兵1，汤春瑞2

1．哈尔滨工程大学信息与通信工程学院，哈尔滨150001
2．黑龙江科技学院现代制造加工中心，哈尔滨150022

收稿日期:2011-03-26 修回日期:2012-03-21 出版日期:2012-09-24 发布日期:2012-09-25
通信作者: 付强，博士生，研究方向：数字图像处理，E-mail: funq2012@hotmail.com；
作者简介:付强，博士生，研究方向：数字图像处理，E-mail: funq2012@hotmail.com；李一兵，教授，博导，研究方向：超宽带信号检测与处理、数字图像处理、信息融合技术，E-mail: liyibing0920@sina.cn
基金资助:
国家“973”重点基础研究发展计划基金(No.61393010101-1)；船舶工业国防科技预研项目基金(No.10J3.1.6)资助

Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex

FU Qiang1, LI Yi-bing1, TANG Chun-rui2

1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2. Modern Manufacture Engineering Center, Heilongjiang Institute of Science and Technology, Harbin 150022, China

Received:2011-03-26 Revised:2012-03-21 Online:2012-09-24 Published:2012-09-25

摘要/Abstract

摘要：

水下复杂信道环境以及各种干扰的存在使得声呐图像分辨率偏低，边缘细节不便于识别处理，传统增强算法大多直接进行增强处理而较少考虑去噪过程. 针对这一问题，该文分析了表面波分解和视网膜皮层图像增强原理，阐述了两者结合的可能性，并在此基础上提出了一种先采用表面波结合自适应阈值去噪处理，再进行多尺度Retinex增强的图像处理方法. 在仿真实验中将该方法与其他图像去噪增强算法分别进行比较，结果表明该方法在边缘细节保持及颜色保真方面具有优势，能够在获得更好的视觉结果的同时控制算法复杂度，有利于后续图像处理.

关键词: 图像增强, 水声图像, 表面波分解, 视网膜皮层增强算法

Abstract:

Due to complicated underwater channels and various interferences, sonar image resolution is low,leading to difficulties in identifying edge details. Many enhancement algorithms can improve image resolution without de-noising. To this end, the paper proposes an improved enhancement algorithm, which first performs de-noising using surfacelet transform with adaptive threshold, and then carries out multi-scale retinex enhancement.
Simulation results show that the proposed algorithm has advantages in preservation of edge details color information. It helps subsequent image processing.

Key words: image enhancement, sonar image, surfacelet transform, Retinex enhancement algorithm

中图分类号:

TN911.73

付强1，李一兵1，汤春瑞2. 表面波和Retinex结合的水声图像增强方法[J]. 应用科学学报, 2012, 30(5): 505-510.

FU Qiang1, LI Yi-bing1, TANG Chun-rui2. Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex[J]. Journal of Applied Sciences, 2012, 30(5): 505-510.

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表面波和Retinex结合的水声图像增强方法

Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex

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