摘要
船舶在水上航行时,要适时获取周围的图像,通过对图像的分析,为航行提供可靠依据,避免发生碰撞,确保航行安全。然而,由于受到天气等因素的影响,使得船舶采集到的图像中存在大量的噪声干扰,由此使得图像质量下降,针对此类图像需要进行噪声去除,同时还要采取有效的方法,对图像进行反差增强,使图像更加清晰,以便获取其中有利用价值的信息。图像反差增强应当与噪声去除同步开展,为实现这一目标,可以采用变分混合模型。
When a ship is sailing on the water,it is necessary to obtain the surrounding images at the right time,and through the analysis of the images,provide a reliable basis for the navigation,avoid collisions,and ensure the safety of navigation.However,due to the influence of some factors,such as the weather,there is a lot of noise interference in the images collected by the ship,which causes the image quality to decline.For such images,noise removal is required,and effective methods must be taken at the same time.Contrast enhancement of the image to make the image clearer in order to obtain useful information.Image contrast enhancement should be carried out simultaneously with noise removal.To achieve this goal,a variational hybrid model can be used.
作者
岳雪亭
徐鹏飞
喻恒
周瑞敏
YUE Xue-ting;XU Peng-fei;YU Heng;ZHOU Rui-min(Pingdingshan University,School of Information Engineering,Pingdingshan 467000,China)
出处
《舰船科学技术》
北大核心
2021年第24期205-207,共3页
Ship Science and Technology
基金
河南省教育厅高等学校重点科研项目(162102310248)
平顶山学院青年基金资助项目(PXY-QNJJ-202008)
关键词
变分混合模型
图像去噪
反差增强
variational mixing model
image denoising
contrast enhancement
