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基于中性集合与双边滤波的NSCT域声呐图像去噪

刘光宇 刘彪 胡嘉鑫 苍岩 赵恩铭 周豹

湖南大学学报(自然科学版)2023,Vol.50Issue(12):19-27,9.
湖南大学学报(自然科学版)2023,Vol.50Issue(12):19-27,9.DOI:10.16339/j.cnki.hdxbzkb.2023296

基于中性集合与双边滤波的NSCT域声呐图像去噪

Sonar Image Denoising in NSCT Domain Based on Neutral Set and Bilateral Filtering

刘光宇 1刘彪 1胡嘉鑫 2苍岩 3赵恩铭 1周豹1

作者信息

  • 1. 大理大学工程学院,云南大理 671003
  • 2. 大连中远海运重工有限公司,辽宁大连 116000
  • 3. 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨 150006
  • 折叠

摘要

Abstract

Sonar equipment can produce severe speckle noise interference and degrade image quality when acquiring underwater images due to seafloor reverberation,scattered echoes and equipment.To overcome this challenge,a Non-subsampled contourlet transform(NSCT)sonar image denoising based on neutral ensemble with bilateral filtering is proposed.The method explores a clustering denoising method suitable for dealing with high-frequency subband noise of non-subsampled contourlet transform decomposition,where the neutrosophic set domain is applied as clustering to each layer of high-frequency sub-images,represented by true subsets,uncertainty sets and false sets,to achieve separation of noise and retention of valid information;then bilateral filtering is used to remove the noise mistaken as image information in true subsets;bilateral filtering for low-frequency coefficients smoothing is performed using bilateral filtering.Finally,the processed low-frequency subbands and high-frequency subbands are reconstructed by NSCT to achieve the purpose of removing speckle noise from the image.The experiments show that the proposed method can improve the visual effect of the image,improve the evaluation indexes such as mean square error and peak signal-to-noise ratio,and is also suitable for removing high-density noise.

关键词

中性集合/双边滤波/非下采样轮廓波变换/图像去噪

Key words

neutrosophic set/bilateral filtering/non-subsampled contourlet transform/image denoising

分类

计算机与自动化

引用本文复制引用

刘光宇,刘彪,胡嘉鑫,苍岩,赵恩铭,周豹..基于中性集合与双边滤波的NSCT域声呐图像去噪[J].湖南大学学报(自然科学版),2023,50(12):19-27,9.

基金项目

国家自然科学基金资助项目(62065001),National Natural Science Foundation of China(62065001) (62065001)

云南省地方本科高校基础研究联合专项资金项目(2019FH001-066,202101BA070001-054),Science and Technology Programs of Yunnan Provincial Science and Technology Department(2019FH001-066,202101BA070001-054) (2019FH001-066,202101BA070001-054)

云南省中青年学术和技术带头人后备人才项目(202205AC160001),Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities'Association(202205AC 160001) (202205AC160001)

湖南大学学报(自然科学版)

OACSCDCSTPCD

1674-2974

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