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| 基于最大似然估计的自适应图像降噪 | |
| 引用本文： | 周登文,申晓留. 基于最大似然估计的自适应图像降噪[J]. 计算机工程, 2009, 35(8): 236-238 |
| 作者姓名： | 周登文 申晓留 |
| 作者单位： | 华北电力大学计算机科学与技术系,北京,102206 |
| 摘 要： | 应用Stein的无偏风险估计改进Mih？ak等提出的LAWML小波域图像降噪算法。该方法能在每一个子带为LAWML方法确定一个最佳的邻域窗口,也将建议的方法推广到对偶树复数小波变换。实验结果证实,该方法不仅优于LAWML,也优于当前其他一些图像降噪算法。 |
| 关 键 词： | 图像降噪 统计造型 小波变换 自适应 |
Adaptive Image Denoising Based on Maximum Likelihood Estimation |
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| ZHOU Deng-wen,SHEN Xiao-liu. Adaptive Image Denoising Based on Maximum Likelihood Estimation[J]. Computer Engineering, 2009, 35(8): 236-238 | |
| Authors: | ZHOU Deng-wen SHEN Xiao-liu |
| Affiliation: | Department of Computer Science and Technology;North China Electric Power University;Beijing 102206 |
| Abstract: | This paper improves the LAWML image denoising algorithm of the wavelet domain proposed by Mihcak et al, via Stein＇s Unbiased Risk Estimation（SURE）. In every subband, the method can determine an optimal neighboring window size for LAWML. It also extends the proposed method to dual tree complex wavelet coefficients. Experimental results demonstrate that the proposed method delivers the better performances than some of the best denoising methods published. |
| Keywords: | image denoising statistical modeling wavelet transform adaptive |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |