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Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm

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  • Keya Huang
  • Hairong Zhu
  • Hocine Cherifi

Abstract

Aiming at the problem of unclear images acquired in interactive systems, an improved image processing algorithm for nonlocal mean denoising is proposed. This algorithm combines the adaptive median filter algorithm with the traditional nonlocal mean algorithm, first adjusts the image window adaptively, selects the corresponding pixel weight, and then denoises the image, which can have a good filtering effect on the mixed noise. The experimental results show that, compared with the traditional nonlocal mean algorithm, the algorithm proposed in this paper has better results in the visual quality and peak signal-to-noise ratio (PSNR) of complex noise images.

Suggested Citation

  • Keya Huang & Hairong Zhu & Hocine Cherifi, 2021. "Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm," Complexity, Hindawi, vol. 2021, pages 1-10, July.
    • Handle: RePEc:hin:complx:5578788
    DOI: 10.1155/2021/5578788
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