﻿ 基于视觉传达效果的舰船图像优化
 舰船科学技术  2022, Vol. 44 Issue (9): 174-177    DOI: 10.3404/j.issn.1672-7649.2022.09.037 PDF

Research on ship image optimization based on visual communication effect
YAN Ling
Gannan Normal University of Science and Technology College, Ganzhou 341000, China
Abstract: Visual communication technology is a rapidly developing science and technology in the digital environment. In ship security monitoring, it is urgent to use visual communication technology to repair blurred ship images, remove image non-uniform noise, and improve ship image resolution. Based on the perspective of visual communication effect, this paper applies visual communication technology to four aspects: extracting ship image feature information, establishing ship image optimization model, optimizing processing foggy ship image and ship panoramic image, and proposes a ship image optimization scheme. And the image effect of the optimization scheme is demonstrated through experiments. The experimental results show that ship image optimization can effectively reduce the peak signal-to-noise ratio and ensure the clarity of the image.
Key words: visual communication effect     ship     image     resolution
0 引　言

1 基于视觉传达效果的舰船图像优化 1.1 舰船图像特征信息

1.2 舰船图像优化模型

 $I(a,b,\sigma ) = Q(a,b,\sigma ) \times R(a,b) \text{。}$

 $I(a,b,\sigma ) = \frac{1}{{2\pi {\sigma ^2}}} - p \text{。}$

 $S = \frac{{{\gamma ^2} - 1}}{{F \cdot {\gamma ^2}}} + E \text{，}$

 图 1 高斯尺度空间在舰船图像处理中的应用流程图 Fig. 1 Application flow chart of Gaussian scale space in ship image processing
1.3 雾天舰船图像优化方案

 图 2 基于视觉传达三维技术的雾天舰船图像恢复流程图 Fig. 2 Flow chart of ship image restoration in fog based on visual communication three-dimensional technology
1.4 舰船全景图像优化

2 舰船图像优化模型的仿真实验 2.1 图像局部特征点检测

 图 3 基于视觉传达效果检测与传统检测方法的对比效果图 Fig. 3 Comparison between visual communication effect detection and traditional detection methods
2.2 雾天舰船图像恢复实验

 图 4 雾天状态下未优化处理的舰船图像 Fig. 4 Ship image not optimized in fog

 图 5 基于视觉传达三维技术的图像恢复效果图 Fig. 5 Image restoration effect based on visual communication three-dimensional technology
2.3 图像优化效果对比实验

 图 6 基于视觉传达效果图像优化后的峰值信噪比图 Fig. 6 Peak signal-to-noise ratio map after image optimization based on visual communication effect

 图 7 基于视觉传达效果的优化后图像结构自相似性误差分布图 Fig. 7 Distribution map of self-similarity error of image structure after optimization based on visual communication effect
3 结　语

 [1] 翟玉婷, 迟卫, 郑智林. 采用塔式关键词直方图的舰船图像实时分类检测方法[J]. 科学技术与工程, 2017, 17(33): 131-135. DOI:10.3969/j.issn.1671-1815.2017.33.019 [2] 张雪峰 赵莉. 线性滤波运动舰船图像静态视点平滑过渡仿真[J]. 科技通报, 2014(12): 148-150. DOI:10.3969/j.issn.1001-7119.2014.12.050 [3] 闫飞, 冯春成. 基于卷积神经网络的舰船图像增强算法[J]. 舰船科学技术, 2019, 41(16): 163-165. [4] 曲海成, 高健康, 刘万军, 等. 上下文信息融合与分支交互的SAR图像舰船无锚框检测[J]. 电子与信息学报, 2022, 44(1): 380-389. [5] 何维娟, 江涛, 王欣. 基于改进YOLOV3的遥感图像舰船目标检测[J]. 云南民族大学学报(自然科学版), 2022, 31(1): 89-93. [6] 黄琼男, 朱卫纲, 李永刚. SAR图像舰船目标检测数据集构建研究综述[J]. 电讯技术, 2021, 61(11): 1451-1458. DOI:10.3969/j.issn.1001-893x.2021.11.019 [7] 成艳, 于雪莲, 钱惟贤, 等. 红外遥感图像舰船尾迹提取及检测[J]. 红外与激光工程, 2022, 51(2): 32-39.