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A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm

Author

Listed:
  • Junfeng Zhang
  • Jiasong Wu
  • Jean-Louis Coatrieux
  • Limin Luo
  • Yang Chen

Abstract

Although the nonlocal means (NLM) algorithm takes a significant step forward in image filtering field, it suffers from a high computational complexity. To deal with this drawback, this paper proposes an acceleration strategy based on a correlation operation. Instead of per-pixel processing, this approach performs a simultaneous calculation of all the image pixels with the help of correlation operators. Complexity analysis and experimental results are reported and show the advantage of the proposed algorithm in terms of computation and time cost.

Suggested Citation

  • Junfeng Zhang & Jiasong Wu & Jean-Louis Coatrieux & Limin Luo & Yang Chen, 2016. "A Correlation Based Strategy for the Acceleration of Nonlocal Means Filtering Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-7, July.
    • Handle: RePEc:hin:jnlmpe:5483485
    DOI: 10.1155/2016/5483485
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