• Title/Summary/Keyword: De-noising with various color model images

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Performance comparison of Image De-nosing Techniques based on Color Model Transformation (컬러 이미지 변환을 이용한 노이즈 제거 방법 및 성능 비교)

  • Kim, Taeho;Kim, Hakran
    • Journal of Digital Contents Society
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    • v.18 no.8
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    • pp.1641-1648
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    • 2017
  • The main purpose of this paper is to compare the performances of various filters with color images to remove the noise. Furthermore, we suggest a modified de-noising process by the transformation of color model from RGB to another color models, such as HSV and $YC_BC_R$, to improve the quality of de-noising methods encompassing Median, Wiener, and Mean filters. Neither the performance comparison of the de-noising filters with color images nor the converting the color model for better de-noise on the degraded images haven't been performed before. Inspired to make improvements, we conduct experiments with new de-noising process on color images. The result of the experiments is shown that it could assist on certain filters being more reliable techniques.