首页> 外文会议>IEEE International Conference on Image Processing >IMAGE DECOMPOSITION, IMAGE RESTORATION, AND TEXTURE MODELING USING TOTAL VARIATION MINIMIZATION AND THE H{sup}(-1) NORM
【24h】

IMAGE DECOMPOSITION, IMAGE RESTORATION, AND TEXTURE MODELING USING TOTAL VARIATION MINIMIZATION AND THE H{sup}(-1) NORM

机译:使用总变化最小化和H {SUP}( - 1)规范的图像分解,图像恢复和纹理建模

获取原文

摘要

We propose a new model for image restoration and decomposition, based on the total variation minimization of Rudin-Osher-Fatemi [8], and on some new techniques by Y. Meyer [5] for oscillatory functions. An initial image f is decomposed into a cartoon part u and a texture or noise part v. The u component is modeled by a function of bounded variation, while the v component by an oscillatory function, with bounded H{sup}(-1) norm. After some transformation, the resulting PDE is of fourth order. The proposed model continues the ideas and techniques previously introduced by the authors in [9]. Image decomposition and denoising numerical results will be shown by the proposed new fourth order nonlinear partial differential equation.
机译:基于Rudin-Osher-Fatemi [8]的总变化最小化,以及Y. Meyer [5]用于振荡功能的一些新技术,提出了一种新的图像恢复和分解模型。初始图像F被分解成卡通部件U和纹理或噪声部分v。U分量由界限变化的函数建模,而V组件由振荡函数,具有界限H {sup}( - 1)规范。在一些转化之后,所得到的PDE是第四顺序。拟议的模型继续在[9]中的作者之前引入的思想和技术。提出的新的四阶非线性偏微分方程将显示图像分解和去噪数值结果。

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