摘要
图像修复对于研究船舶海上运行状态有重要意义。传统的船舶图像修复算法针对范围很小,修复速度很慢,难以满足目前人们的要求。为了解决这一问题,研究一种新的船舶破损图像快速修复算法,分析压缩和编码过程,建立船舶修复数学模型,根据建立的数学模型计算船舶图像信息,完成船舶破损图像修复。为了验证研究算法的有效性,与传统算法进行对比,从修复范围和修复速度两方面设计对比实验。由实验结果可知,所研究算法能够针对大范围船舶图像进行快速修复。本研究对于船舶海上运行状态分析有一定的指导意义。
Image restoration plays an important role in studying the state of ship’s operation at sea. The traditional algorithm of ship image inpainting is very small, and the repair speed is very slow, so it is difficult to meet the requirements of the current people. In order to solve this problem, a new fast repair algorithm for ship damaged image is studied, the process of compression and coding is analyzed, the mathematical model of ship repair is established, and the ship image information is calculated according to the mathematical model established, and the repair of ship damaged image is completed. In order to verify the validity of the algorithm, a comparison experiment was carried out from two aspects: restoration scope and repair speed. The experimental results show that the algorithm can quickly repair the large range of ship images. This study has some guiding significance for ship operation analysis.
出处
《舰船科学技术》
北大核心
2018年第10X期166-168,共3页
Ship Science and Technology
关键词
大范围
船舶图像
破损图像
图像修复算法
快速修复算法
large scale
ship image
damaged image
image inpainting algorithm
fast repair algorithm
