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Multimedia Tools and Applications

, Volume 78, Issue 21, pp 30865–30875 | Cite as

Patch-based contour prior image denoising for salt and pepper noise

  • Bo FuEmail author
  • XiaoYang Zhao
  • Yi Li
  • XiangHai Wang
Article

Abstract

The salt and pepper noise brings a significant challenge to image denoising technology, i.e. how to remove the noise clearly and retain the details effectively? In this paper, we propose a patch-based contour prior denoising approach for salt and pepper noise. First, noisy image is cut into patches as basic representation unit, a discrete total variation model is designed to extract contour structures; Second, a weighted Euclidean distance is designed to search the most similar patches, then, corresponding contour stencils are extracted from these similar patches; At last, we build filter from contour stencils in the framework of regression. Numerical results illustrate that the proposed method is competitive with the state-of-the-art methods in terms of the peak signal-to-noise (PSNR) and visual effects.

Keywords

Image denoising Patch directional prior Salt and pepper noise Total variation 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (NSFC) Grant No. 61702246, 41671439,

Liaoning Province of China General Project of Scientific Research No. L2015285, Doctoral Start-up Foundation of Liaoning Province No. 201601243.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Computer and Information TechnologyLiaoning Normal UniversityDalianChina

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