A wavelet threshold image denoising algorithm based on a new kind of sign function

Based on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong threshold adaptability and so on.It not only preserved th...

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Main Authors: Jinge CUI, Bingquan CHEN, Qing XU, Bo DENG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-01-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017012/
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author Jinge CUI
Bingquan CHEN
Qing XU
Bo DENG
author_facet Jinge CUI
Bingquan CHEN
Qing XU
Bo DENG
author_sort Jinge CUI
collection DOAJ
description Based on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong threshold adaptability and so on.It not only preserved the low-frequency wavelet coefficients,but also filtered the noise coefficients in the high-frequency coefficients effectively,so that the reconstructed image was closer to the original image.The simulation results of Bridge image,Lena image and B-mode Fetus image with Gaussian white noise show that the visual effect of both the new threshold function and the quantitative indicators PSNR and MSE are better than the existing threshold image denoising algorithm.The edge and detail information can be better protected,have no obvious oscillation,the image is smoother and even,and the method has good stubbornness under the background of complex noise.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2017-01-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-8f46f483caba4b879ee4610a4fc29a062025-01-15T03:13:28ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-01-0133455259603925A wavelet threshold image denoising algorithm based on a new kind of sign functionJinge CUIBingquan CHENQing XUBo DENGBased on the existing threshold denoising algorithm,a threshold denoising algorithm based on the new symbolic function was proposed.The new threshold function has advantages of continuous guidance,small deviation of wavelet coefficient,strong threshold adaptability and so on.It not only preserved the low-frequency wavelet coefficients,but also filtered the noise coefficients in the high-frequency coefficients effectively,so that the reconstructed image was closer to the original image.The simulation results of Bridge image,Lena image and B-mode Fetus image with Gaussian white noise show that the visual effect of both the new threshold function and the quantitative indicators PSNR and MSE are better than the existing threshold image denoising algorithm.The edge and detail information can be better protected,have no obvious oscillation,the image is smoother and even,and the method has good stubbornness under the background of complex noise.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017012/sign functionwavelet thresholddenoisingrobustness
spellingShingle Jinge CUI
Bingquan CHEN
Qing XU
Bo DENG
A wavelet threshold image denoising algorithm based on a new kind of sign function
Dianxin kexue
sign function
wavelet threshold
denoising
robustness
title A wavelet threshold image denoising algorithm based on a new kind of sign function
title_full A wavelet threshold image denoising algorithm based on a new kind of sign function
title_fullStr A wavelet threshold image denoising algorithm based on a new kind of sign function
title_full_unstemmed A wavelet threshold image denoising algorithm based on a new kind of sign function
title_short A wavelet threshold image denoising algorithm based on a new kind of sign function
title_sort wavelet threshold image denoising algorithm based on a new kind of sign function
topic sign function
wavelet threshold
denoising
robustness
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017012/
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AT jingecui waveletthresholdimagedenoisingalgorithmbasedonanewkindofsignfunction
AT bingquanchen waveletthresholdimagedenoisingalgorithmbasedonanewkindofsignfunction
AT qingxu waveletthresholdimagedenoisingalgorithmbasedonanewkindofsignfunction
AT bodeng waveletthresholdimagedenoisingalgorithmbasedonanewkindofsignfunction