摘要
针对在水下环境中,由于光的散射和衰减导致的图像对比度低、颜色失真等问题,提出了一种暗原色先验模型和基于统计方法的颜色校正算法相结合的图像增强新方法。该方法根据水下彩色图像成像模型,首先利用暗原色先验算法对水下彩色图像进行去模糊处理,并针对大水深情况下获取水下图像时因使用人工照明而造成的水下彩色图像亮度不均匀问题,对暗原色先验模型中背景光强度A值的估计方法进行改进;然后利用统计方法对水下彩色图像的R、G和B三个颜色通道分别进行颜色校正,从而实现了水下图像色彩的整体校正。实验结果表明,该方法有效增强了水下彩色图像的对比度和亮度,消除了由于光的散射而造成的图像模糊,使水下彩色图像具有更好的可视性。
Aiming at the problem of low image contrast and color distortion in the underwater environment caused by scattering and attenuation of light,we propose a novel method of image enhancement based on the combination of a dark channel priori model and a colorcorrection algorithm based on statistical method. According to the imaging model of underwater color image,firstly the dark channel prioralgorithm is used to de-blur the image,and for the uneven brightness of underwater color image caused by artificial lighting in deep water,the estimation method of the background light intensity A in the dark channel priori model is improved. Then the color correction ofthe three color channels,namely R,G and B,are respectively carried out by statistical method,thus realizing the overall correction of underwater image color. The experiment shows that the proposed method can effectively enhance the contrast and brightness of underwatercolor images and eliminate the image blurring caused by light scattering,which makes the underwater color images have better visibility.
作者
李社蕾
李海涛
崔聪颖
LI She-lei;LI Hai-tao;CUI Cong-ying(School of Information ＆Intelligence Engineering,Sanya University,Sanya 572022,China;The 92961 Unit of PLA,Sanya 572021,China)
出处
《计算机技术与发展》
2018年第10期70-73,共4页
Computer Technology and Development
基金
海南省自然科学基金项目(20166234)
海南省高等学校科学研究项目(Hnky2017-57)
三亚市院地合作项目(2015YD47)
关键词
水下图像
颜色校正
图像增强
暗原色先验
图像处理
underwater image
color correction
image enhancement
dark channel prior
image processing
