| 表面波和Retinex结合的水声图像增强方法 |
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| 引用本文： | 付强,李一兵,汤春瑞.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. |
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| 作者姓名： | 付强 李一兵 汤春瑞 |
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| 作者单位： | 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 |
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| 基金项目： | 国家“973”重点基础研究发展计划基金，船舶工业国防科技预研项目基金 |
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| 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.
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| 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 |
| 收稿时间： | 2011-03-26 |
| 修稿时间： | 2012-03-21 |
Image Enhancement for Sonar Images Based on Surfacelet and Multi-scale Retinex |
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| FU Qiang
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LI Yi-bing
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TANG Chun-rui.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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| Authors: | FU Qiang LI Yi-bing TANG Chun-rui |
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| Institution: | 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 |
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| 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. |
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| Keywords: | image enhancement sonar image surfacelet transform Retinex enhancement algorithm |
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