| 基于图像局域特性的自适应贝叶斯小波收缩去噪算法 |
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| 引用本文： | 欧阳晶,汪胜前,薛琴.基于图像局域特性的自适应贝叶斯小波收缩去噪算法[J].江西师范大学学报(自然科学版),2006,30(2):110-112. |
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| 作者姓名： | 欧阳晶 汪胜前 薛琴 |
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| 作者单位： | 1. 江西师范大学,物理与通信电子学院,江西,南昌,330027
2. 江西科技师范学院,应用物理系,江西,南昌,330013 |
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| 基金项目： | 中国科学院资助项目;江西省自然科学基金 |
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| 摘 要： | 在小波去噪过程中,对小波系数进行统计建模,去噪效果会得到较大的改进.该文在贝叶斯萎缩去噪的基础上,提出了基于图像局域特性自适应阈值去噪算法.实验结果表明:新的算法比传统的算法能更有效地去除噪声,获得更高的PSNR.同时,图像中的边缘也保护得更好.
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| 关 键 词： | 小波去噪 贝叶斯统计模型 层内特性 |
| 文章编号： | 1000-5862（2006）02-0110-03 |
| 收稿时间： | 2005-09-16 |
| 修稿时间： | 2005-09-16 |
Adaptive Bayesian Wavelet Shrinkage Denoising Based on the Neighbourhood Characteristic |
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| OU Yang-jing,WANG Sheng-qian,XUE qin.Adaptive Bayesian Wavelet Shrinkage Denoising Based on the Neighbourhood Characteristic[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2006,30(2):110-112. |
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| Authors: | OU Yang-jing WANG Sheng-qian XUE qin |
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| Abstract: | The performance of image denoising algorithms using wavelet shrinkage can be improved significantly by taking into account the statistical dependencies among wavelet coefficients.In this paper,based on the BayesShrink denoising,we propose a new intra-scale adaptive thresholding algorithm.Experiment results show the new algorithm is superior to the classical wavelet shrinkage methods,receives higher PSNR and gets better edge preservation. |
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| Keywords: | wavelet denoising Bayesian statistical model intra-scale characteristic |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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