Synthetic aperture Radar image denoising algorithm based on improved anisotropic diffusion
Authors: 
Hongqiang Xin, Jianzhong Huang, Feng Dang, Chao Li, Xuemei Wei, Yunchao Li, Yichun JiangAuthors Info & Claims
Hongqiang Xin, Jianzhong Huang, Feng Dang, Chao Li, Xuemei Wei, Yunchao Li, Yichun JiangAuthors Info & ClaimsPages 157 - 161
Abstract
In order to solve the problem of speckle noise in synthetic aperture radar (SAR) images, an image denoising algorithm based on improved anisotropic diffusion is proposed in this paper. In this algorithm, the diffusion coefficient c(x) based on the P-M equation diffusion filtering algorithm is improved to obtain the SAR image filtering algorithm, and the iteration termination condition is added.This method can not only solve the problem of isolated noise points existing in traditional P-M model filtering, but also has a good effect on image edge preservation. The simulation results show that the improved P-M model can eliminate the noise and keep the edge information of the image well.
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- Synthetic aperture Radar image denoising algorithm based on improved anisotropic diffusion
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Published In
December 2022
189 pages
ISBN:9781450397568
DOI:10.1145/3579109
Copyright © 2022 ACM.
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Association for Computing Machinery
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Published: 14 March 2023
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- The Key Project of National Defense Science and Technology Innovation Special Zone
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ICVIP 2022
ICVIP 2022: 2022 The 6th International Conference on Video and Image Processing
December 23 - 26, 2022
Shanghai, China
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