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A Rotational Invariant Non-local Mean

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Advances in Multimedia Information Processing -- PCM 2015 (PCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9315))

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Abstract

The image restoration and noise reduction are used to improve image quality and to develop more robust and high performance algorithms to solve denoising problems in the image processing. Every approach has their own limitations and more practicable properties with the specific conditions. This paper considers rotational transformation with non-local means denoising algorithm. The non-local means denoising algorithm use repetitive patterns in the image for noise reduction. Therefore, the affine transformations will extend search space of the problem and will cause of more qualitative results.

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References

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Acknowledgments

This work was supported by NRF-2011-0007898 and NRF-2014R1A2A1A11051941.

Author information

Authors and Affiliations

  1. Computer Science Department, Chung-Ang University, Seoul, Korea

    Rassulzhan Poltayev & Byung-Woo Hong

Authors
  1. Rassulzhan Poltayev
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  2. Byung-Woo Hong
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Corresponding author

Correspondence to Byung-Woo Hong .

Editor information

Editors and Affiliations

  1. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  2. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Jitao Sang

  3. KAIST, Daejeon, Korea (Republic of)

    Yong Man Ro

  4. KAIST, Daejeon, Korea (Republic of)

    Junmo Kim

  5. College of Computer Science, Zhejiang University, Hangzhou, China

    Fei Wu

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© 2015 Springer International Publishing Switzerland

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Poltayev, R., Hong, BW. (2015). A Rotational Invariant Non-local Mean. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_37

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  • DOI: https://doi.org/10.1007/978-3-319-24078-7_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24077-0

  • Online ISBN: 978-3-319-24078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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