信号与信息处理

表面波和Retinex结合的水声图像增强方法

展开
  • 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
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

收稿日期: 2011-03-26

  修回日期: 2012-03-21

  网络出版日期: 2012-09-25

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

Expand
  • 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 date: 2011-03-26

  Revised date: 2012-03-21

  Online published: 2012-09-25

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.

本文引用格式

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 . DOI: 10.3969/j.issn.0255-8297.2012.05.011

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.

参考文献

[1] Rahman Z, Jobson D J, Woodell G A. Image enhancement, image quality, and noise [C]//2005 Photonic Devices and Algorithms for Computing VII,
2005: 1-15.
[2] Lu Yue, Do M N. Multidimensional directional filter banks and surfacelets [M]. IEEE Transactions on Image Processing, 2007, 16(4): 918-931.
[3] Li Yibing, Meng Ting. Image denoising method of combining Surfacelet transform and NSCT[C]//ICACC 2010 2nd International Conference on
Advanced Computer Control, Shenyang, China,2010: 249-252.
[4] Jang I S, Lee T H, Ha H G, Ha Y H. Adaptive color enhancement based on multi-scaled Retinex using local contrast of the input image[C]//International Symposium on Optomechatronic Technologies (ISOT), Taegu, South Korea, 2010: 1-6.
[5] Morel J M. Petro A B, Sbert C. A PDE formalization of Retinex theory [J]. IEEE Transactions on Image Processing, 2010(19): 2825-2837.
[6] Guarnieri G, Marsi S, Ramponi G. High dynamic range image display with Halo and clipping prevention[J]. IEEE Transactions on Image Processing,
2011, 20(5): 1351-1362.
[7] Jae H J, Sung D K, Jong B R. Enhancement of optical remote sensing images by subband-decomposed multiscale Retinex with hybrid intensity transfer function [J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(5): 983-987.
[8] Jobson D J, Rahman Z, Woodell G A. Properties and performance of a center/surround Retinex[C]// IEEE Transactions on Image Processing, 1997:
451-462.
[9] Jobson D J, Rahman Z, Woodell G A. A multiscale Retinex for bridging the gap between color images and the human observation of scenes [C]//1997 IEEE Transactions on Image Processing: Special Issue on Color Processing, 1997: 965-976.
[10] 黄凯奇,吴镇扬,王桥. 色彩恒常性在彩色图像增强中的应用[J]. 应用科学学报,2004, 22(3): 322-326.
Huang Kaiqi, Wu Zhenyang, Wang Qiao. The application of color constancy to color inage enhancement [J]. Journal of Applied Sciences, 2004, 22(3):
322-326. (in Chinese)
[11] Gonzales R C, Woods R E著. 数字图像处理[M].阮秋琦等译. 第3版,北京:电子工业出版社,2011:72-96.
[12] Fu Qiang, Li Yibing, Liu Yue. Improving image quality in poor visibility with Retinex-based adaptive image enhancement method [J]. International Journal of Digital Content Technology and Its Applications,2011, 5(10): 296-301.
[13] 乔小燕,姬光荣,陈雾. 一种基于改进的全局Retinex图像增强算法及其仿真研究[J]. 系统仿真学报,2009,21(4): 1195-1197.
Qiao Xiaoyan, Ji Guangrong, Chen Wu. Improved Retinex image enhancement algorithm and simulation study [J]. Journal of System Simulation, 2009,
21(4): 1195-1197. (in Chinese)
[14] Wang Wen, Li Bo, Zhang Jin, Xian Shu, Wang Jing. A fast multi-scale Retinex algorithm for color image enhancement [C]//2008 Proceeding of the
2008 International Conference on Wavelet Analysis and Pattern Recognition, 2008: 80-85.
[15] 李学明. 基于Retinex理论的图像增强算法[J]. 计算机应用与研究,2005, 22(22): 235-237.
Li Xueming. Image enhancement algorithm based on Retinex theory [J]. Application Research of Computers,2005, 22(22): 235-237. (in Chinese)

文章导航

/