GPR image denoising based on bilateral filtering BM3D algorithm

Abstract

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

CLC Number:

TP751.1

WANG Hui-qin, LÜ Jia-yun, ZHANG Wei. GPR image denoising based on bilateral filtering BM3D algorithm[J]. Journal of Lanzhou University of Technology, 2022, 48(1): 91-97.

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