作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2020, Vol. 46 ›› Issue (10): 253-258. doi: 10.19678/j.issn.1000-3428.0055876

• 图形图像处理 • 上一篇    下一篇

基于背景光估计与颜色修正的水下图像增强

王红茹a,b, 张弓a, 卢道华a,b,c, 王佳a,b   

  1. 江苏科技大学 a. 机械工程学院;b. 江苏省船海机械先进制造及工艺重点实验室;c. 海洋装备研究院, 江苏 镇江 212003
  • 收稿日期:2019-09-02 修回日期:2019-11-11 发布日期:2019-11-15
  • 作者简介:王红茹(1979-),女,副教授、博士,主研方向为图像处理、智能机器人;张弓,硕士研究生;卢道华,教授、博士;王佳,副教授、硕士。
  • 基金资助:
    国家重点研发计划"船载无人潜水器收放系统"(2018YFC0309100);江苏省船海机械先进制造及工艺重点实验室开放基金(ZDKT18-06)。

Underwater Image Enhancement Based on Background Light Estimation and Color Correction

WANG Hongrua,b, ZHANG Gonga, LU Daohuaa,b,c, WANG Jiaa,b   

  1. a. School of Mechanical Engineering;b. Key Laboratory of Advanced Manufacture and Process for Marine Mechanical Equipment in Jiangsu Province;c. Marine Equipment Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, China
  • Received:2019-09-02 Revised:2019-11-11 Published:2019-11-15

摘要: 针对水下成像过程中的图像降质和颜色衰减现象,提出一种基于全局背景光估计和颜色校正的图像增强算法。利用雾图像和水下图像的相似性对空气中的去雾算法进行改进,在估计图像全局背景光时选取矩形模板对图像分块计算色彩饱和度方差,选取方差最小的区域作为背景光的预估图像。针对原始的背景光估计方法所得图像偏白的问题,通过最小值滤波处理,同时利用Retinex算法校正图像R通道的颜色,再结合各颜色通道的色彩衰减系数比得到其他通道图。实验结果表明,该算法能有效去除水下图像的浑浊部分,改善图像的偏色问题,使图像清晰度得到明显提升。

关键词: 水下图像增强, 暗原色先验, 背景光估计, 颜色校正, 色彩饱和度方差

Abstract: To solve the problem of image degradation and color attenuation in underwater imaging,this paper proposes an image enhancement algorithm based on global background light estimation and color correction.The similarity between fog image and underwater image is used to improve the algorithm of fog removal in air.When estimating the global background light of the image,the rectangular template is selected to calculate the color saturation variance in image blocks,and the region with the minimum variance is selected as the estimated image of background light.To address the problem that the original background light estimation algorithm will make the image whiter than it should be,the minimum filtering is implemented.Also,the Retinex algorithm is used to correct the color of R channel of the image and then other channel graphs are obtained by combining the color attenuation coefficient ratio of each color channel.Experimental results show that this algorithm can effectively remove the turbidity of underwater images improve the color deviation of images,and significantly improve the clarity of images.

Key words: underwater image enhancement, dark primary color prior, background light estimation, color correction, color saturation variance

中图分类号: