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小波系数局部特征的自适应图像降噪算法

DOI: 10.11830/ISSN.1000-5013.2010.06.0636

Keywords: 图像降噪, 整数提升, 小波变换, 分解级数, 自适应阈值, 峰值信噪比

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Abstract:

在Visu Shrink和基于Bayes准则的Bayes Shrink去噪方法的基础上,提出一种基于小波系数局部特征的自适应图像降噪算法.该算法从含噪图像的HH1子带估算噪声信号的标准差,并据此优化小波分解所需的级数; 然后,根据小波系数的局部特征,自适应地选择不同子带不同方向上的最佳阈值,运用软阈值函数对图像进行降噪.与传统方法相比,该方法不仅提高图像的峰值信噪比,使图像更清晰,而且具有实现简单、运算速度快的特点.

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