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Noise Diminution Through Wavelet Based Hybrid Filter to Segment an Image

A. Chitradevi and V. Sadasivam


Image denoising is a complicated task to remove noise from an image and also to maintain the quality, which is based on the nature of noise. In this paper, an image denoising method wavelet based asymmetrical triangular median fuzzy filter (WATMED) is proposed based on wavelet transform with fuzzy filter, wiener filter and median filter. This paper also discusses the performance analysis of various existing image denoising algorithms to remove the different types of noise. The projected filtering technique provides improved outcomes for removing all type of noises except salt and pepper noise where median filter gives good results.


Индексировано в

  • КАСС
  • Google Scholar
  • Открыть J-ворота
  • Национальная инфраструктура знаний Китая (CNKI)
  • Космос ЕСЛИ
  • Каталог индексирования исследовательских журналов (DRJI)
  • Секретные лаборатории поисковых систем
  • ICMJE

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