兰州理工大学学报

兰州理工大学学报 ›› 2022, Vol. 48 ›› Issue (1): 91-97.

• 自动化技术与计算机技术 • 上一篇    下一篇

基于双边滤波-BM3D算法的GPR图像去噪

王惠琴*, 吕佳芸, 张伟   

  1. 兰州理工大学 计算机与通信学院, 甘肃 兰州 730050
  • 收稿日期:2020-10-12 出版日期:2022-02-28 发布日期:2022-03-09
  • 通讯作者: 王惠琴(1971-),女,甘肃兰州人,博士,教授,博导.Email:whq1222@lut.edu.cn
  • 基金资助:
    国家自然科学基金(61861026,61875080)

GPR image denoising based on bilateral filtering BM3D algorithm

WANG Hui-qin, LÜ Jia-yun, ZHANG Wei   

  1. School of Computer and Communication, Lanzhou Univ. of Tech., Lanzhou 730050, China
  • Received:2020-10-12 Online:2022-02-28 Published:2022-03-09

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摘要： 为了增强地质雷达(GPR)图像,将双边滤波和三维块匹配算法(BM3D)相融合,提出了一种联合去噪算法.同时,研究了不同方差下的峰值信噪比,并采用最大化真实图像和估计图像之间的结构相似性对去噪后的图像进行了客观评价.实验结果表明,与单一的去噪算法相比,联合去噪算法能够更好地保持地质雷达图像中缺陷目标体边缘的完整性,具有较好的去噪效果.

关键词: 双边滤波, 三维块匹配算法, 地质雷达图像去噪

Abstract: To enhance the image of ground penetrating radar (GPR), a joint denoising algorithm is proposed by combining bilateral filtering with 3D block matching algorithm (BM3D). At the same time, the peak signal-to-noise ratio under different variances is studied, and the image before and after denoising is evaluated objectively by maximizing the structural similarity between the real image and the estimated image. The experimental results show that, compared with the single denoising algorithm, the joint denoising algorithm can better maintain the integrity of the edge of the defective target in the ground penetrating radar image, and has a better denoising effect.

Key words: bilateral filtering, 3D block matching algorithm, ground penetrating radar image denoising

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