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  1. The adaptive fuzzy switching median is to provide an accurate estimation for the values of corrupted pixels when there are many corrupted pixels on image. In the experiments, we implement the proposed method on an open dataset of real natural images.

  2. The adaptive fuzzy switching median is to provide an accurate estimation for the values of corrupted pixels when there are many corrupted pixels on image. In the experiments, we implement...

  3. 14 gru 2019 · The adaptive fuzzy switching median is to provide an accurate estimation for the values of corrupted pixels when there are many corrupted pixels on image. In the experiments, we implement...

  4. In this paper, we propose a method for real-time high density impulse noise suppression from images. In our method, we first apply an impulse detector to identify the corrupted pixels and then employ an innovative weighted-

  5. 17 gru 2023 · The NR-CAFSM filter (Hussain et al. 2017) is applied on grayscale medical images to remove the salt and pepper noise. The cluster-based adaptive fuzzy switching median method is involved in this work to make the noise-free image.

  6. Fuzzy Switching Median Filter (NAFSM) for removing salt and pepper noise and Gaussian noise in retinal images and brain MRI images. Among all the filters, NAFSM removes the Gaussian noise...

  7. 7 maj 2017 · A new clustering technique based on most allied directional neighbors is proposed to suppress low and high-density impulse noise from digital images. Most allied neighbors exhibit a vital role in estimation as well restoration of appropriate gray level value of corrupted pixels.

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