摘要
目前图像自适应增强方法未曾对图像进行去雾处理,因此提出计算机图像处理技术在水下图像中的应用研究。针对水下图像雾化、模糊等问题,进行图像去雾处理,进行自适应增强,促使水下图像可以根据雾化自适应增强图像特征。实验结果表明:对比三组方法的图像增强效果、图像增强自适应度和图像增强评价指标,研究的水下图像自适应增强方法,具有较高的图像清晰度,可以降低图像中存在的噪点,增强图像色彩对比度,提高图像质量。
At present,the image adaptive enhancement method has not defogged the image,so the application research of computer image processing technology in underwater images is proposed.Aiming at problems such as fogging and blurring of underwater images,the image defogging process is carried out and adaptive enhancement is carried out,so that underwater images can be adaptively enhanced according to fogging.The experimental results show that:comparing the image enhancement effect,image enhancement adaptive degree and image enhancement evaluation index of the three groups of methods,the researched underwater image adaptive enhancement method has high image clarity and can reduce the noise in the image,enhance image color contrast and improve image quality.
作者
王康
刘婷
陈子文
李雅薇
郭显久
WANG Kang;LIU Ting;CHEN Zi-wen;LI Ya-wei;GUO Xian-jiu(Dalian Ocean University,Dalian Liaoning 116023)
出处
《数字技术与应用》
2021年第3期93-95,161,共4页
Digital Technology & Application
关键词
计算机图像处理技术
水下图像
雾化处理
图像增强效果
Computer image processing technology
Underwater image
Fog processing
Image enhancement effect
