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Implementation of Impulse Noise Reduction Method to Color Images using Fuzzy Logic

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اقرأ أكثر حفظ في قائمتي
  • المؤلفون: G Venkateswara Rao
  • المصدر:
    Global Journal of Computer Science and Technology; Vol. 11 No. 22 (2011): GJCST- Interdisciplinary: Volume 11 Issue 22; 71-75 ; 0975-4172 ; 0975-4350
  • الموضوع:
    Image Processing; Impulse noise; Fuzzy logic
  • نوع التسجيلة:
    article in journal/newspaper
  • اللغة:
    English
  • معلومة اضافية
    • بيانات النشر:
      Global Journals Inc. (US)
    • الموضوع:
      2011
    • Collection:
      Global Journal of Computer Science and Technology (GJCST)
    • نبذة مختصرة :
      Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-to-day life for various applications. Impulse noise reduction method is one of the critical techniques to reduce the noise in color images. In this paper the impulse noise reduction method for color images by using Fuzzy Logic is implemented. Generally Grayscale algorithm is used to filter the impulse noise in corrupted color images by separate the each color component or using a vector-based approach where each pixel is considered as a single vector. In this paper the concepts of Fuzzy logic has been used in order to distinguish between noise and image characters and filter only the corrupted pixels while preserving the color and the edge sharpness. Due to this a good noise reduction performance is achieved. The main difference between this method and other classical noise reduction methods is that the color information is taken into account to develop a better impulse noise detection a noise reduction that filters only the corrupted pixels while preserving the color and the edge sharpness. The Fuzzy based impulse noise reduction method is implemented on set of selected images and the obtained results are presented.
    • File Description:
      application/pdf; application/zip; text/xml; text/html; application/epub+zip; text/plain; text/x-tex
    • Relation:
      https://computerresearch.org/index.php/computer/article/view/864/864; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_TEI_xml_zip; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_JATS_NLM_xml; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_html; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_dbk_xml_zip; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_LaTeX_pdf; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_epub; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_md; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_fo; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_bib; https://computerresearch.org/index.php/computer/article/view/864/11-Implementation-of-Impulse-Noise-Reduction_tex; https://computerresearch.org/index.php/computer/article/view/864
    • الدخول الالكتروني :
      https://computerresearch.org/index.php/computer/article/view/864
    • Rights:
      Copyright (c) 2011 Authors and Global Journals Private Limited ; http://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.CE5CF4BA