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《Journal of Changchun University of Science and Technology(Natural Science Edition)》 2009-02
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HOS-based Wavelet Denoising Algorithm

ZHOU Mingyue,DU Limin,JIANG Wenlong (School of Information Technologe,Jilin Normal University,Siping 136000)  
The image is often corrupted by noise in its acquisition or transmission. The traditional denoise before analysis will cause the image detail change fuzzy when filter out image noise. In the paper, an efficient technique based on Bispectral and Wavelet transform is proposed. According to the characteristic of ‘Gaussian’noise and‘salt and pepper’noise under wavelet transform, the high-frequency subband images is filtered with the property of Bispectral filter, this remove the‘Gaussian’noise. Then the subband images is denoised by using median filter to remove the‘salt and pepper’noise. The experiment results show that the method not only efficiently remove the mixed‘salt and pepper’noise and 'Gaussian' noise in image, but also preserve the image edge information.The filtering performance is better than that by traditionaldenoising method.
【Fund】: 校科研启动基金
【CateGory Index】: TP391.41
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【References】
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1 LANG Wenjie(National Electrical and Electronic Laboratory Teaching Exemplary Center,North University of China,Taiyuan 030051);The Study on De-nosing Method by Image Fusion Based on Multiple Wavelet-bases Packet Analysis[J];Journal of Changchun University of Science and Technology(Natural Science Edition);2009-04
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1 WANG Yan-ling, WANG Hong-zhi, LI Ling (School of Computer Science & Engeering, Changchun University of Technology, Changchun 130012, China);A novel image noise smoothing method based on bispectrum[J];Journal of Changchun University of Technology;2005-02
【Co-citations】
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1 WEI Xiao-cheng LI Qi WANG Qi (National Key laboratory of Tunable Laser Technology,Institute of Opto-Electronic,Harbin Institute of Technology,Harbin 150001,China);Preprocessing of ladar range image in correlated tracking[J];Infrared and Laser Engineering;2006-S4
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1 WEI Xiao-cheng, LI Qi, WANG Qi (National Key laboratory of Tunable Laser Technology, Institute of Opto-Electronic, Harbin Institute of Technology, Harbin 150001,China);Preprocessing of ladar range image in correlated tracking[A];[C];2006
【Co-references】
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1 ZHAO Min(Shenyang Polytechnic College,Shenyang 110045,China);Application of FFT and Wavelet Transforms to Noise Elimination of Transformer Partial Discharge Signals[J];Transformer;2009-05
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【Secondary References】
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1 XIE Dianguang,YANG Jinhua,SHEN Lin,LI Peiping(School of Optical and Electronic Engineering,Changchun University of Science and Technology,Changchun 130022);Image Restoration Based on An Improved Adaptive Total Variation Model[J];Journal of Changchun University of Science and Technology(Natural Science Edition);2010-04
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