| 引用本文： |
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杜超本,贾振红,覃锡忠,等.基于小波和NSCT的图像自适应阈值去噪方法[J].电讯技术，2011，51（5）： - . [点击复制]
- DU Chao-ben,JIA Zhen-hong,QIN Xi-zhong,et al.Adaptive Threshold for Image Denoising Based on Wavelet and Nonsubsampled Contourlet Transform[J].，2011，51（5）： - . [点击复制]
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| 摘要: |
| A new local adaptive threshold estimation method for image denoising b
ased on the wavelet transform(WT) and Nonsubsampled Contourlet Transform(NSCT) i
s proposed. Th
e new method uses wavelet to estimate the noise strength of noisy images, then d
etermines the shrinkage threshold acco
rding to the strength of noise,t
he neighbouring NCST coefficients, the scale of the coefficients and the noise l
evel. Compared with the wavelet hard-thresholding, the contourlet hard-thresho
lding and the NSCT hard-thresholding denoising method,the proposed method can o
b
viously reduce the Gibbs phenomenon and superiors both in vision and in PSNR(Pea
k Signal-to-Noise Ratio). |
| 关键词: image denoising wavelet transform NSCT adaptive threshold |
| DOI： |
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| 基金项目:科技部国际科技合作项目（2009DFA12870）；教育部促进与美大
地区科研合作与高层次人才培养项目 |
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| Adaptive Threshold for Image Denoising Based on Wavelet and Nonsubsampled Contourlet Transform |
| DU Chao-ben,JIA Zhen-hong,QIN Xi-zhong,YANG Jie,HU Ying-jie,LI Dian-jun |
| (College of Information Science and Engineering，Xinjiang University，Urumuqi
830046，China;Institute of Image Processing and Pattern Recognition，Shang
hai Jiaotong University，Shanghai 200240，China;Knowledge Engineering and Discovery Research Institute，Auckland University o
f Technology，Auckland 1020，New Zealand) |
| Abstract: |
| 图像去噪；小波变换；NSCT；自适应阈值 |
| Key words: |
《电讯技术》编辑部 