基于视觉传达的空间模型舰船航行图形图像处理融合研究  

Research on fusion of spatial model ship navigation graphics image processing based on visual communication

作　　者：冷桂丽 LENG Gui-li(Jiangxi University of Engineering,Xinyu 338000,China)

机构地区：[1]江西工程学院,江西新余338000

出　　处：《舰船科学技术》2023年第23期194-197,共4页Ship Science and Technology

摘　　要：为提高舰船在航行过程中对周围环境的检测效果,保证舰船的安全航行,本文基于计算机视觉传达技术,提出舰船航行图形图像分析处理方法。经过图像亮度调整、色彩均衡、融合等过程,处理后的图像得到了明显改善。同时,对传统的FCTF-Net算法进行了改进,得到双通道双阶段图像去雨网络(DTDNet),在此基础上引入感知函数和TV Loss函数,实现对图像的去雾、去雨处理,并与其他几种算法进行了对比实验。实验结果表明,改进后的算法在信噪比和图像相似度上都具有明显的优势。In order to improve the ship's detection effect on the surrounding environment during navigation and ensure the ship's safe navigation,this paper proposes an analysis and processing method of ship's navigation graphics and images based on computer vision communication technology.After image brightness adjustment,color balance,fusion and other processes,the processed images have been significantly improved.At the same time,the traditional FCTF-Net algorithm is improved to get a two-channel two-stage image rain removal network(DTDNet).On this basis,the perception function and TV Loss function are introduced to realize the image fog removal and rain removal processing,and the comparison experiment is conducted with other algorithms.The experimental results show that the improved algorithm has obvious advantages in signal-to-noise ratio and image similarity.

关 键 词：视觉传达 DTDNet算法 色彩均衡 图像融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]