计算机应用 ›› 2012, Vol. 32 ›› Issue (10): 2836-2839.DOI: 10.3724/SP.J.1087.2012.02836

• 图形图像处理 • 上一篇    下一篇

基于水下图像光学成像模型的清晰化算法

郭相凤1,贾建芳1,杨瑞峰1,葛中峰2   

  1. 1. 中北大学 信息与通信工程学院,太原 030051
    2. 中国海洋大学 工程学院,山东 青岛 266100
  • 收稿日期:2012-04-09 修回日期:2012-05-21 发布日期:2012-10-23 出版日期:2012-10-01
  • 通讯作者: 郭相凤
  • 作者简介:郭相凤(1987-),女,山东泰安人,硕士研究生,主要研究方向:图像清晰化处理、运动目标检测与跟踪;贾建芳(1973-),男,山西长治人,副教授,博士,主要研究方向:非线性系统故障诊断与容错控制、复杂系统建模与优化;杨瑞峰(1969-),男,山西代县人,教授,博士,主要研究方向:计算机测控技术、现代传感技术与系统;葛中峰(1985-),男,山东日照人,硕士研究生,主要研究方向:智能信息处理与智能控制、水下视频图像处理。
  • 基金资助:
    山西省青年科技研究基金;教育部博士点新教师基金

Visibility enhancing algorithm based on optical imaging model for underwater images

GUO Xiang-feng1,JIA Jian-fang1,YANG Rui-feng1,GE Zhong-feng2   

  1. 1. School of Information and Communication Engineering, North University of China, Taiyuan Shanxi 030051, China
    2. College of Engineering,Ocean University of China, Qingdao Shandong 266100, China
  • Received:2012-04-09 Revised:2012-05-21 Online:2012-10-23 Published:2012-10-01
  • Contact: GUO Xiang-feng

摘要: 针对水下图像的纹理细节模糊、对比度低以及图像光照不均问题,通过分析水下图像的成像过程,提出一种水下图像清晰化算法。在小波域的低频子带上结合水下图像光学成像模型,先利用高斯模糊对介质散射光进行估计与去除,再采用基于局部复杂度的方法调整衰减因子,对衰减低频子图进行自适应增强;在高频子带上采用非线性变换的增强方法,进一步增强了高频信息并有效地抑制了噪声的放大。实验结果表明该算法对解决水下图像模糊和光照不均问题具有较好的效果,与基于小波变换的水下降质图像复原算法相比,具有较高的实时性。

关键词: 水下图像, 图像增强, 小波变换, 光学成像模型, 低对比度, 光照不均

Abstract: To overcome the problems of underwater images such as fuzzy texture details, low contrast and non-illumination, the underwater images imaging process was first analyzed and then a visibility enhancing algorithm was proposed. Underwater image optical imaging model was used in the low-frequency sub-band, where image with medium scattering light was estimated and eliminated using Gaussian blur, and then attenuation factor was adjusted based on local complexity method to enhance adaptively low frequency sub-image. Non-linear transform for enhancing image was used in the high-frequency sub-band, which further enhanced the high frequency information and effectively restrained the noise magnification. The experimental results show that the algorithm can effectively deal with the problem of image blurring and non-illumination, and the running time is less than that of restoration algorithm for degraded underwater images based on wavelet transform.

Key words: underwater image, image enhancement, wavelet transform, optical imaging model, low contrast, non-illumination

中图分类号: