| 基于自适应窗的小波域图像去噪算法 |
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| 引用本文： | 周祚峰,水鹏朗,李军侠. 基于自适应窗的小波域图像去噪算法[J]. 系统工程与电子技术, 2007, 29(8): 1238-1241 |
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| 作者姓名： | 周祚峰 水鹏朗 李军侠 |
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| 作者单位： | 西安电子科技大学雷达信号处理国家重点实验室,陕西,西安,710071 |
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| 基金项目： | 国家自然科学基金;教育部高等学校博士学科点专项科研基金 |
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| 摘 要： | 提出了一种利用自适应窗的小波域双重局部维纳滤波图像去噪算法。综合考虑小波分解后各个子带中能量分布的方向特性和图像本身的边缘和纹理特性,该算法首先估计每个子带中信号的能量分布进而在每个子带中确定自适应窗,然后利用自适应窗估计出的能量分布对含噪图像进行双重维纳滤波来去除噪声。实验结果表明该算法对含噪图像去噪的效果优于已有的采用二维可分实小波进行图像去噪的算法。
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| 关 键 词： | 双重局部维纳滤波 自适应窗 小波去噪 能量分布 |
| 文章编号： | 1001-506X(2007)08-1238-04 |
| 修稿时间： | 2006-07-12 |
Image denoising algorithm based on adaptive windows in wavelet domain |
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| ZHOU Zuo-feng,SHUI Peng-lang,LI Jun-xia. Image denoising algorithm based on adaptive windows in wavelet domain[J]. System Engineering and Electronics, 2007, 29(8): 1238-1241 |
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| Authors: | ZHOU Zuo-feng SHUI Peng-lang LI Jun-xia |
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| Abstract: | The image denoising algorithm based on wavelet analysis is a hot point in image processing applications.A wavelet-based image denoising algorithm via doubly local Wiener filtering with adaptive windows is presented.Combing the consideration of the energy distributions' directional features of each subband after wavelet decomposition and the intrinsic features of the edge and textures of natural images,firstly,the adaptive windows are fixed by autocorrelation function of wavelet coefficients' energy distribution,and then the doubly local Wiener filtering is used to denoise the noisy image.Experiment results show that the proposed algorithm is better than the existing image denoising algorithms using the separable 2-D real wavelets. |
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| Keywords: | doubly local Wiener filtering adaptive window wavelet denoising energy distribution |
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