Cite this DOI

Reddy, D. B., Khan, P. I., & Dr. B. Dhananjaya (2021). Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness. *Journal of Science & Technology*, *06*(05), 132–137. https://doi.org/10.46243/jst.2021.v6.i05.pp132-137

@article{reddy2021mean,
  author    = {Reddy, Dr.B. Bhaskar and Khan, P. Imran and Dr. B. Dhananjaya},
  title     = {{Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {oct},
  volume    = {06},
  number    = {05},
  pages     = {132--137},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i05.pp132-137},
  url       = {https://doi.org/10.46243/jst.2021.v6.i05.pp132-137},
  language  = {en},
  abstract  = {Communication is increasingly reliant on the transfer of visual information through digital pictures. The noise is the consequence of picture capture flaws that don't accurately represent the intensity of the real scene. Using this picture as a decision-making tool is a possibility. Use the appropriate algorithm to remove the noise to obtain a high-quality picture. Salt and pepper, Gaussian, and Poisson noise all degrade images, thus it is important to know what kind of noise is present in the picture before attempting to remove it. The "Mean Convolution Mass Filter (MCMF)" method was proposed in the publication. Digital images may be de-noised more effectively with this method compared to other current techniques.}
}

TY  - JOUR
TI  - Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness
AU  - Reddy, Dr.B. Bhaskar
AU  - Khan, P. Imran
AU  - Dr. B. Dhananjaya
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/10/22/
VL  - 06
IS  - 05
SP  - 132
EP  - 137
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Communication is increasingly reliant on the transfer of visual information through digital pictures. The noise is the consequence of picture capture flaws that don't accurately represent the intensity of the real scene. Using this picture as a decision-making tool is a possibility. Use the appropriate algorithm to remove the noise to obtain a high-quality picture. Salt and pepper, Gaussian, and Poisson noise all degrade images, thus it is important to know what kind of noise is present in the picture before attempting to remove it. The "Mean Convolution Mass Filter (MCMF)" method was proposed in the publication. Digital images may be de-noised more effectively with this method compared to other current techniques.
DO  - 10.46243/jst.2021.v6.i05.pp132-137
UR  - https://doi.org/10.46243/jst.2021.v6.i05.pp132-137
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i05.pp132-137",
    "title": "Use of a Mean Convolution Mass Filter to Reduce Mango Fruit Noisiness",
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Communication is increasingly reliant on the transfer of visual information through digital pictures. The noise is the consequence of picture capture flaws that don't accurately represent the intensity of the real scene. Using this picture as a decision-making tool is a possibility. Use the appropriate algorithm to remove the noise to obtain a high-quality picture. Salt and pepper, Gaussian, and Poisson noise all degrade images, thus it is important to know what kind of noise is present in the picture before attempting to remove it. The \"Mean Convolution Mass Filter (MCMF)\" method was proposed in the publication. Digital images may be de-noised more effectively with this method compared to other current techniques.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i05.pp132-137 gives all four in one JSON answer.