Noise removed by processing the lightness and chromatic components basic on YCbCr color space

Abstract EN

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.