基于常散射假设和同态滤波的水下图像增强算法

王 丹; 张子玉; 赵金宝; 杨谢柳; 范慧杰; 唐延东

doi:10.11993/j.issn.2096-3920.2021.02.012

基于常散射假设和同态滤波的水下图像增强算法

doi: 10.11993/j.issn.2096-3920.2021.02.012

1.
沈阳建筑大学机械工程学院, 辽宁沈阳, 110168
2.
中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁沈阳, 110016

基金项目: 国家自然科学基金(61991413, 61973224); 道路施工技术与装备教育部重点实验室开放基金(300102259506); 辽宁省重点研发计划(2019JH2/10100014); 辽宁省自然科学基金(2019-ZD-0673, 2019-ZD-0655, 2019-KF-01-15).

详细信息

通讯作者:
杨谢柳(1985-), 女, 博士, 副教授, 主要研究方向为计算机视觉、图像处理及机器学习.

中图分类号: TJ630 TP391
计量
- 文章访问数: 119
- HTML全文浏览量: 7
- PDF下载量: 107
- 被引次数: 0
出版历程
- 收稿日期: 2020-07-01
- 修回日期: 2020-08-04
- 刊出日期: 2021-04-30

Underwater Image Enhancement Algorithm Based on Constant Scattering Assumption and Homomorphic Filtering

1.
School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2.
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

摘要

摘要: 针对水下图像视觉增强技术存在低对比度和色偏的问题, 文中提出一种基于常散射假设和同态滤波的水下图像增强算法。首先, 假设整幅图像的后向散射为常量, 在图像的前景区域分别搜索红绿蓝三通道的最小像素值, 将各通道与其对应的最小像素值作差, 以实现去除后向散射的目的。然后, 将图像转为灰度图像并进行同态滤波处理, 以抑制图像低频信息和增强图像高频成分。最后, 采用颜色校正方法消除离群点对图像的干扰。实验结果表明, 文中方法可有效改善图像的对比度和亮度, 提升图像的整体视觉效果。
- 水下图像 /
- 视觉增强 /
- 散射 /
- 同态滤波
Abstract: Aiming at the problem of low contrast and color deviation in underwater image visual enhancement technology, an image enhancement algorithm based on constant scattering assumption and homomorphic filtering is proposed. Firstly, assuming the backscattering of the whole image is constant, the minimum pixel value of red, green and blue (RGB) three channels is searched in the foreground area of the image, and the difference between each channel and its corresponding minimum pixel value is determined to avoid backscattering. Subsequently, the image is transformed into a gray image and homomorphic filtering is performed to suppress the low-frequency information and enhance the high-frequency component of the image. Finally, color correction method is used to eliminated the interference of outliers to the image. Experimental results show that the proposed method can effectively improve the contrast and brightness of the image, and enhance the overall visual effect of the image.
- underwater image /
- visual enhancement /
- scattering /
- homomorphic filtering

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参考文献(27)

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