Mixed noise denoising method for remote sensing images combining BM3D and multi-level nonlinear weighted average median filtering

doi:10.13474/j.cnki.11-2246.2020.0018

Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (1): 89-93.doi: 10.13474/j.cnki.11-2246.2020.0018

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Mixed noise denoising method for remote sensing images combining BM3D and multi-level nonlinear weighted average median filtering

REN Chao^1,2, LI Xianguang¹, DENG Kaiyuan¹, PAN Yalong¹, ZHU Zilin¹, ZHANG Zhigang¹, SHI Xianjian¹

1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China;
2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541006, China

Received:2019-05-23 Revised:2019-07-24 Published:2020-02-10

Abstract

Abstract: A mixed noise denoising method for remote sensing images based on BM3D and multilevel nonlinear weighted average median filtering is proposed. The bior1.5 and hear parameters in the traditional 3D block matching algorithm are replaced by coief3 wavelet and sym2 wavelet, and the 3D block matching algorithm and multistage nonlinear weighted average median filtering are combined to improve the denoising ability of the algorithm for mixed noise. A simulation comparison experiment and a real remote sensing image denoising experiment are carried out. The experiment shows that the method proposed in this paper is better than the traditional mixed noise denoising method in the aspect of remote sensing image mixed noise denoising.

Key words: mixed noise denoising, BM3D, median filtering, gaussian noise, salt and pepper noise

CLC Number:

P237

REN Chao, LI Xianguang, DENG Kaiyuan, PAN Yalong, ZHU Zilin, ZHANG Zhigang, SHI Xianjian. Mixed noise denoising method for remote sensing images combining BM3D and multi-level nonlinear weighted average median filtering[J]. Bulletin of Surveying and Mapping, 2020, 0(1): 89-93.

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Mixed noise denoising method for remote sensing images combining BM3D and multi-level nonlinear weighted average median filtering

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