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| 基于Contourlet变换尺度间相关的图像去噪 | |
| 引用本文： | 郁梅,易文娟,蒋刚毅.基于Contourlet变换尺度间相关的图像去噪[J].光电工程,2006,33(6):73-77,83. |
| 作者姓名： | 郁梅 易文娟 蒋刚毅 |
| 作者单位： | 1. 宁波大学,信息科学与工程学院,浙江,宁波,315211;中国科学院计算技术研究所,北京,100080 2. 宁波大学,信息科学与工程学院,浙江,宁波,315211;中国科学院计算技术研究所,北京,100080;中国科学院研究生院,北京,100039 3. 宁波大学,信息科学与工程学院,浙江,宁波,315211;南京大学,软件新技术国家重点实验室,江苏,南京,210093 |
| 基金项目： | 中国科学院资助项目;浙江省自然科学基金;浙江省科技攻关项目;浙江省宁波市科技局资助项目 |
| 摘 要： | Contourlet域数据分析表明，信号的变换域系数在尺度间相关性高，而白噪声则呈弱相关或不相关。通过相关性强弱区分噪声与信号系数，并结合阈值函数，提出了基于Contourlet变换尺度间相关的图像去噪新算法。实验结果表明，新方法去噪后的图像比小波相关去噪算法的PSNR值更高，视觉效果更好，尤其适用于纹理轮廓丰富的图像去噪。 |
| 关 键 词： | Contourlet变换 小波变换 相关性 图像去噪 |
| 文章编号： | 1003-501X（2006）06-0073-05 |
| 收稿时间： | 2005-08-04 |
| 修稿时间： | 2005-08-042005-10-25 |
Image denoise based on inter-scale correlations of Contourlet transform |
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| YU Mei,YI Wen-juan,JIANG Gang-yi.Image denoise based on inter-scale correlations of Contourlet transform[J].Opto-Electronic Engineering,2006,33(6):73-77,83. | |
| Authors: | YU Mei YI Wen-juan JIANG Gang-yi |
| Affiliation: | 1. Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; 2. Institute of Computer Technology, the Chinese Academy of Sciences, Beijing 100080, China; 3. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China; 4. National Key Lab of Software New Technology, Nanjing University, Nanjing 210093, China |
| Abstract: | Analyses of Contourlet coefficients indicate that inter-scale contourlet coefficients with respect to signals are highly correlated while the correlations associated with white noise are less or even do not exist. According to the property, an image denoising algorithm based on inter-scale correlations of Contourlet coefficients is proposed combined with threshold functions. Experimental results show that the proposed method outperforms the corresponding wavelet method in terms of both peak-signal- to-noise (PSNR) and visual quality, and it is especially adequate to the images with much texture. |
| Keywords: | Contourlet transform Wavelet transform Correlation Image denoise |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |