|
|||||
|
|
| 基于权重粒子群优化阈值的NSCT图像去噪 | |
| 引用本文： | 刘继红,贾振红,覃锡忠,杨杰,胡英杰.基于权重粒子群优化阈值的NSCT图像去噪[J].计算机工程,2012,38(10):209-211. |
| 作者姓名： | 刘继红 贾振红 覃锡忠 杨杰 胡英杰 |
| 作者单位： | 1. 新疆大学信息科学与工程学院,乌鲁木齐,830046 2. 上海变通大学图像处理与模式识别研究所,上海,200240 3. 奥克兰理工大学知识工程与发现研究所,新西兰 奥克兰 1020 |
| 基金项目： | 科技部国际科技合作计划基金资助项目(2009DFA12870);教育部促进与美大地区科研合作与高层次人才培养基金资助项目 |
| 摘 要： | 提出一种基于线性递减权重粒子群优化(LinWPSO)阈值的非下采样Contourlet变换(NSCT)图像去噪方法。在NSCT域通过LinWPSO对广义交叉验证风险函数寻优以确定最佳阈值，通过软阈值函数去噪，利用NSCT的平移不变性抑制伪Gibbs失真效应，从而完整保留图像的纹理和边缘等细节信息。实验结果表明，该方法能有效去除遥感图像的高斯噪声，提高图像的峰值信噪比。 |
| 关 键 词： | 图像去噪 软阈值 非下采样Contourlet变换 粒子群优化 平移不变性 广义交叉验证 |
| 收稿时间： | 2011-07-13 |
NSCT Image Denoising Based on Weight Particle Swarm Optimization Threshold |
|
| LIU Ji-hong , JIA Zhen-hong , QIN Xi-zhong , YANG Jie , HU Ying-jie.NSCT Image Denoising Based on Weight Particle Swarm Optimization Threshold[J].Computer Engineering,2012,38(10):209-211. | |
| Authors: | LIU Ji-hong JIA Zhen-hong QIN Xi-zhong YANG Jie HU Ying-jie |
| Affiliation: | 1.College of Information Science and Engineering,Xinjiang University,Urumuqi 830046,China;2.Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University,Shanghai 200240,China;3.Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,Auckland 1020,New Zealand) |
| Abstract: | A Nonsubsampled Contourlet Transform(NSCT) image denoising method based on Linear decreasing Weight Particle Swarm Optimization(LinWPSO) is proposed in this paper.This method acquires the optimal threshold of Generalized Cross Validation(GCV) risk function by using LinWPSO in the NSCT domain,and removes the noise through soft threshold function,which does not need the prior information of noise variance.Experimental results show that the proposed method can more effectively reduce Gauss noise in remote sensing image and improve the Peak Signal to Noise Ratio(PSNR) of the image. |
| Keywords: | image denoising soft threshold Nonsubsmapled Contourlet Transform(NSCT) Particle Swarm Optimization(PSO) shift invariance Generalized Cross Validation(GCV) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《计算机工程》浏览原始摘要信息 | |
| 点击此处可从《计算机工程》下载全文 | |