首页> 外文期刊>Journal of visual communication & image representation >A comparison of three total variation based texture extraction models
【24h】

A comparison of three total variation based texture extraction models

机译:三种基于总变化量的纹理提取模型的比较

获取原文
获取原文并翻译 | 示例
       

摘要

This paper qualitatively compares three recently proposed models for signal/image texture extraction based on total variation minimization: the Meyer [27], Vese-Osher (VO) [35], and TV-L~1 [12,38,2-4,29-31] models. We formulate discrete versions of these models as second-order cone programs (SOCPs) which can be solved efficiently by interior-point methods. Our experiments with these models on 1D oscillating signals and 2D images reveal their differences: the Meyer model tends to extract oscillation patterns in the input, the TV-L~1 model performs a strict multiscale decomposition, and the Vese-Osher model has properties falling in between the other two models.
机译:本文定性地比较了最近提出的基于总变化最小化的三种信号/图像纹理提取模型:Meyer [27],Vese-Osher(VO)[35]和TV-L〜1 [12,38,2-4] ,29-31]模型。我们将这些模型的离散形式表述为二阶锥规划(SOCP),可以通过内点法有效解决。我们在1D振荡信号和2D图像上使用这些模型进行的实验揭示了它们的差异:Meyer模型倾向于提取输入中的振荡模式,TV-L〜1模型执行严格的多尺度分解,而Vese-Osher模型的性能下降在其他两个模型之间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号