基于Euler弹性项的去噪模型及Split bregman算法
马洁;国凯;
摘要(Abstract):
TV去噪模型是基于一阶导数总变差的变分模型,容易在光滑区域出现阶梯效应。通常利用高阶导数信息来使图像扩散更加平滑。Euler弹性项使用光滑的边界对图像进行处理,广泛应用于图像遮挡,修复,分割等领域。本文主要研究基于Euler弹性项的图像去噪模型,并采用Split Bregman算法实现,有效地改善了TV模型的阶梯效应,并用数值实验验证了算法的有效性。
关键词(KeyWords): 图像去噪;TV模型;Euler弹性项;Split Bregman算法
基金项目(Foundation):
作者(Author): 马洁;国凯;
Email:
DOI:
参考文献(References):
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