为提升虚拟视景图像的灰度分布均匀性，提出舰船作战虚拟视景图像自适应增强方法。利用视觉灵敏度，检测舰船作战虚拟视景图像内的噪声点，通过改进距离方向滤波器，滤除噪声点，完成舰船作战虚拟视景图像的去噪处理；通过改进粒子群算法，自适应选择非完全Beta函数的参数，设计改进粒子群的非完全Beta函数自适应图像增强方法，自适应增强去噪后的虚拟视景图像。仿真实验证明：该方法可有效滤除舰船作战虚拟视景图像的噪声，完成虚拟视景图像自适应增强；应用该方法自适应增强后，虚拟视景图像的灰度分布均匀性较优。
To improve the gray level distribution uniformity of virtual visual images, an adaptive enhancement method for ship combat virtual visual images is proposed. Utilizing visual sensitivity to detect noise points in the virtual visual image of ship operations, and improving the distance direction filter to filter out noise points, completing the denoising process of ship operations virtual visual image; By improving the particle swarm optimization algorithm, adaptively selecting parameters for non complete beta functions, designing an improved particle swarm algorithm for non complete beta function adaptive image enhancement, and adaptively enhancing the denoised virtual scene image. Simulation experiments have shown that this method can effectively filter out the noise in the virtual visual image of ship combat, and achieve adaptive enhancement of the virtual visual image. After applying this method for adaptive enhancement, the gray level distribution uniformity of the virtual scene image is better.
2023,45(20): 202-205 收稿日期：2023-5-19
DOI：10.3404/j.issn.1672-7649.2023.20.039
分类号：TP391.9
基金项目：山西省高等学校教学改革创新项目（J20221105）
作者简介：刘晋钢(1975-),女,副教授,研究方向为虚拟仿真及智能信息处理
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