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In this paper, we will analyze the performance of algorithms for filtering digital images on color or RGB images, depending on the fuzzy distance between the applied image pixels. To analyze the quality of the considered filtering algorithms, we use the universal image quality index (UIQI) for different types of applied noise such as salt and pepper, Gaussian, Poisson and speckle noise. Also, in parallel with the search for the UIQI index the perceived sharpness of the image is also calculated.

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Comparison of the Performance of a Fuzzy Algorithms for Removing Noise

  • 会议论文

  • 发表日期：

    2025年

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  • Nebojša Ralević,
  • Irma Ibrišimović,
  • Marija Paunović,
  • Bratislav Iričanin,
  • Tatjana Došenović

摘要

In this paper, we will analyze the performance of algorithms for filtering digital images on color or RGB images, depending on the fuzzy distance between the applied image pixels. To analyze the quality of the considered filtering algorithms, we use the universal image quality index (UIQI) for different types of applied noise such as salt and pepper, Gaussian, Poisson and speckle noise. Also, in parallel with the search for the UIQI index the perceived sharpness of the image is also calculated.