计算机与现代化

• 图像处理 • 上一篇    下一篇

基于颜色衰减先验和白平衡的水下图像复原

  

  1. (1.河海大学物联网工程学院,江苏常州213022;2.常州市传感网与环境感知重点实验室,江苏常州213022)
  • 出版日期:2018-04-28 发布日期:2018-05-02
  • 作者简介:韩辉(1993),女,江苏南通人,河海大学物联网工程学院硕士研究生,研究方向:水下声光图像处理; 周妍(1982),女,江苏常州人,讲师,博士,研究方向:智能感知与图像处理,水下声光图像处理; 蔡晨东(1994),男,浙江宁波人,硕士研究生,研究方向:水下光学图像处理。
  • 基金资助:
    国家自然科学基金青年科学基金资助项目(41706103); 江苏省自然科学基金青年基金资助项目(BK20170306); 中央高校基本科研业务费专项资金资助项目(2017B17714)

Underwater Image Restoration Based on Color Attenuation Prior and White Balance

  1.  (1. College of Internet of Things Engineering, Hohai University, Changzhou 213022, China;
    2. Changzhou Key Laboratory of Sensor Networks and Environment Sensing, Changzhou 213022, China)
  • Online:2018-04-28 Published:2018-05-02

摘要: 由于水体中悬浮颗粒对光线的吸收及散射作用,以及不同波长的光在水下的衰减程度不同,水下图像通常存在细节模糊、对比度低、颜色失真等问题。为改善水下图像质量,提出一种基于颜色衰减先验和白平衡的水下图像复原方法。首先,根据图像在HSV颜色空间中的颜色衰减先验获得场景深度图;其次,利用水下光学衰减特性估计RGB三通道对应的背景光强度与水下透射率,以实现水下图像的清晰化;最后,采用改进的白平衡方法对清晰化后的水下图像进行颜色校正。实验结果表明,该方法可以显著提升水下图像的细节清晰度与颜色保真度,视觉效果更接近自然场景下的图像。

关键词: 水下成像, 图像复原, 颜色衰减先验, 景深估计, 白平衡

Abstract: Due to the absorption and scattering of light by floating particles in water, and the different attenuation degrees of light at different wavelengths under water, the underwater images generally have the problems of fuzzy details, low contrast and color distortion. Aiming to improve the quality of underwater images, an underwater image restoration method based on color attenuation prior and white balance is proposed. Firstly, the scene depth map is obtained according to the color attenuation prior in HSV color space of the image. Secondly, the underwater optical attenuation characteristic is used to estimate the corresponding background light intensity and underwater transmittance of RGB channels in order to realize image clarity. Finally, the improved white balance method is adopted for the color correction of the clear underwater image. The experimental results show that the proposed method can significantly improve the detail sharpness and color fidelity of underwater images, and the visual effects are more similar to images captured in natural scenes.

Key words: underwater imaging, image restoration, color attenuation prior, scene depth estimation, white balance

中图分类号: