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基于全变差和小波硬阈值的图像去噪 被引量:5

Image Denoising Based On Total Variation And Hard Wavelet Shrinkage
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摘要 本文提出了一种将小波硬阈值与带有自适应逼近项的全变差相结合的方法.该方法利用小波硬阈值和带有自适应逼近项的全变差的特性对图像进行处理,不仅很好地抑制了噪声,而且尽可能地保留了图像的特征结构,实验结果表明具有良好的视觉效果. In this paper, the method for combining total variation with an adaptive fidelity term with hard wavelet shrinkage is proposed. By using the properties of total variation with an adaptive fidelity term and hard wavelet shrinkage, this method ean not only well restrain noise but also keep mueh more characteristic structures of image. The test results show the favorable vision effect.
出处 《信号处理》 CSCD 北大核心 2006年第6期917-919,共3页 Journal of Signal Processing
关键词 全变差 自适应逼近项 小波硬阈值 total variation adaptive fidelity term hard wavelet shrinkage
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