Noise Removed by Processing the Lightness and Chromatic Components Basic on YCbCr Color Space | ||
| Journal of University of Babylon | ||
| Article 1, Volume 24, Issue 9, December 2016, Pages 2332-2345 | ||
| Authors | ||
| ; H. Kareem; Rajaa Husain A.Ali; Ghaidaa A.Hafedh Jaber | ||
| Abstract | ||
| In this research additive noise has been removed from color images by using a new method depends on processing the chromatic components (Hue and Saturation), and lightness component, basic YCbCr color space. Several algorithms are used as Weiner filter , the bilateral filter , anisotropic filter and Principal Component Analysis (PCA) algorithm with standard deviation of noise between (10-80). In order to know the best algorithm , PSNR values are calculated where he found that the best algorithm is the PCA algorithm, followed by Wiener filter | ||
| Keywords | ||
| Noise; Filters; color space | ||
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