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基于微分方程和小波图象去噪研究 被引量：3

Method Based on PDE and Wavelet of Image Denoising
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摘要 小波图象去噪是目前图象去噪的主要方法之一,它可以在很好去除噪声的前提下保持图象的细节特征。近年来基于偏微分方程的图象去噪方法得到了广泛的关注。在一定的约束条件下,求解方程的最优解可以达到比较好的去噪的目的。实验结果表明,该方法在图象去噪的效果上要比小波去噪好,去噪后图象的信噪比高。 Wavelet image denoising is regarded as an important method of image denosing,which can preserve the image features.Presently,the image denoising method based on partial differential equations attracts people's attentin.The optimization result of equation with some constrains can denoise perfectly.Compared with wavelet denoising,the paper concludes that the method based on partial differential equations is more better,and with high SNR.
作者 王彪 田杰 黄海宁 李淑秋
机构地区 西北师范大学 中国科学院声学研究所
出处 《计算机工程与应用》 CSCD 北大核心 2005年第4期72-74,共3页 Computer Engineering and Applications
基金 中国科学院王宽诚博士后工作奖励基金资助
关键词 偏微分方程 全变差 小波去噪 小波萎缩 信噪比 partial differential quations,total variation,wavelet denoising,waveshrink,SNR
分类号 TN911.73 [电子电信—通信与信息系统]
  • 相关文献

参考文献6

  • 1谢杰成,张大力,徐文立.小波图象去噪综述[J].中国图象图形学报（A辑）,2002,7(3):209-217. 被引量：256
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二级参考文献66

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共引文献255

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二级引证文献7

计算机工程与应用
2005年 第4期

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