山东科学 ›› 2019, Vol. 32 ›› Issue (2): 7-14.doi: 10.3976/j.issn.1002-4026.2019.02.002

• 海洋科技与装备 • 上一篇    下一篇

基于透射率优化和颜色修正的水下图像增强方法

李向春,张浩*,刘晓燕,宗芳伊,刘军礼   

  1. 齐鲁工业大学(山东省科学院),山东省科学院海洋仪器仪表研究所,山东 青岛 266001
  • 收稿日期:2018-09-04 出版日期:2019-04-20 发布日期:2019-04-01
  • 通信作者: 张浩,男,助理研究员,研究方向为水下光学成像和计算机视觉。Tel:0532-58628672,E-mail: haozhang2013@126.com E-mail:haozhang2013@126.com
  • 作者简介:李向春(1989—),女,硕士,研究实习员,研究方向为水下图像处理。E-mail:736319394@qq.com
  • 基金资助:
    山东省科学院科技发展基金(科基合字(2018)第6号);山东省重大科技创新工程项目(2018YFJH0705)

A method of underwater image enhancement based on transmittance optimization and color calibration

LI Xiang-chun, ZHANG Hao*, LIU Xiao-yan, ZONG Fang-yi, LIU Jun-li   

  1. Institute of Oceanographic Instrumentaion, Qilu University of Technology(Shandong Academy of Sciences), Qingdao 266001, China
  • Received:2018-09-04 Online:2019-04-20 Published:2019-04-01

摘要: 针对光在水中传输时受到水的吸收作用、悬浮颗粒散射作用而产生严重的衰减,导致水下光学图像对比度低、颜色失真的问题,提出一种基于透射率优化和颜色修正的水下图像增强方法。根据水下光学成像模型,采用最小信息量损失原理估计透射率,结合导向滤波提高透射率的估计精度,通过逆求解水下成像模型得到清晰化的水下图像。利用直方图均衡化进一步提高图像对比度,使用白平衡方法修正颜色。实验结果表明,该方法能够有效去除由后向散射引起的模糊,提高图像对比度和清晰度,同时修正色彩不平衡。

关键词: 水下图像增强, 最小信息量损失, 透射率优化, 颜色修正

Abstract: When light is transmitted in water, it is severely attenuated by water absorption and scattering of suspended particles, resulting in low contrast and color distortion of underwater optical image. In this paper, a method of underwater image enhancement based on transmittance optimization and color calibration was proposed. According to the underwater optical imaging model, the transmittance was estimated based on the principle of minimum information loss, and the estimated accuracy of transmittance was improved by combining with guidance filtering. The clear underwater image was obtained by inverse solution of the underwater imaging model. The histogram equalization was utilized to further improve image contrast, and white balance method was used to calibrate color. Experimental results show that this method can effectively remove the blur caused by backscattering, improve the contrast and clarity of the image, and correct the color imbalance.

Key words: underwater image enhancement, minimum information loss, transmittance optimization, color calibration 

中图分类号: 

  • TP391