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Image Denosing Method based on Tensor Driven Linear Integral Convolutions

초록

영어

In the past decades, many nonlinear partial differential equation (PDE) based denosing methods have been suggested, among which the curvature-preserving PDE image denosing method is one of the outstanding models. To effectively preserve image edge well, a tensor driven linear integral convolutions based Image Denosing Method is proposed, which employ total variation flow based nonlinear structure tensor to analysis different integral curve. It is a new implementation of our former work [10]. Experimental results show that the new method can achieve better denosing results in a variety of standard test images, and the new approach shows superior performance on edge and curvature preserving face image and texture image.

목차

Abstract
 1. Introduction
 2. Tensor Driven Linear Integral Convolutions Denosing methods
 3. Results and Discussion
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Shenghua Gu Division of Science & technology, Nanjing University of Information Science & Technology
  • Lu Liu College of Computer & Software, Nanjing University of Information Science & Technology
  • Yuhui Zheng College of Computer & Software, Nanjing University of Information Science & Technology
  • Shunfeng Wang College of Bin Jiang, Nanjing University of Information Science & Technology

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