摘要
本文以泳池智能救生系统为背景,研究基于小波的泳池水下图像去噪算法。首先对阈值的选取进行讨论,然后分析了阈值函数的选择对去噪效果的影响,并提出采用改进的非线性阈值函数。最后通过仿真实验验证算法的有效性,仿真结果表明,基于非线性阈值函数的小波去噪算法能够获得较高的PSNR值,实时性满足救生需求,能够较好地应用于泳池水下图像的处理。
Image denoising is an important step in image processing of swimming pools intelligent life-saving system, denoising algorithms based on wavelet is researched in this paper. Firstly, threshold value selection is discussed, and then the effects of threshold functions on denoising result is evaluated. Finally, an improved nonlinear threshold function is put forward. Simulation results show that the denoising algorithm designed in this paper can achieve higher PSNR value, and time cost can satisfy the real-time demand of swimming pool intelligent life-saving system simultaneously.
出处
《自动化技术与应用》
2013年第6期65-68,共4页
Techniques of Automation and Applications
基金
2012北京市教委科研计划面上项目-水下视频运动目标检测与跟踪技术研究(002000546312507)
关键词
泳池
水下图像
小波
非线性阈值函数
pool
underwater image
wavelet
nonlinear threshold function
