基于视觉传达技术的低分辨率舰船图像优化  

Research on low resolution ship image optimization based on visual communication technology

作　　者：陆丽芳[1] LU Li-fang(Hangzhou Vocational and Technical College,Hangzhou 310018,China)

机构地区：[1]杭州职业技术学院,浙江杭州310018

出　　处：《舰船科学技术》2021年第18期202-204,共3页Ship Science and Technology

摘　　要：现有图像优化方法存在噪声校正模型不完善的问题,导致优化方法覆盖率较低,设计一种基于视觉传达技术的低分辨率舰船图像优化方法。通过拟合尺度函数,检测低分辨率舰船图像关键点,构建非均匀噪声校正模型,抑制图像的突变灰度,利用视觉传达技术设置优化模式,判断图像像素的边界融合程度。实验结果:此次设计的图像优化方法覆盖率均值为93.28%,另外2种优化方法的覆盖率均值分别为:89.36%、88.54%,证明融合了视觉传达技术的图像优化方法使用价值更高。The existing image optimization methods have the problem of imperfect noise correction model,which leads to the low coverage of the optimization method.This paper designs a low resolution ship image optimization method based on visual communication technology.By fitting the scale function,the key points of low resolution ship image are detected,the non-uniform noise correction model is constructed,the abrupt gray level of the image is suppressed,and the optimization mode is set by using visual communication technology to judge the edge fusion degree of image pixels.Experimental results:the average coverage rate of the image optimization method is 93.28%,and the average coverage rate of the other two optimization methods are 89.36%and 88.54%,respectively,which proves that the image optimization method integrated with visual communication technology has higher use value.

关 键 词：视觉传达技术 低分辨率 舰船图像 优化方法 关键点 校正模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]