Removing noise without producing image distortion is the challenging goal for any image denoising filter. Thus, the different\namounts of residual noise and unwanted blur should be evaluated to analyze the actual performance of a denoising process. In\nthis paper a novel full-reference method for measuring such features in color images is presented. The proposed approach is based\non the decomposition of the normalized color difference (NCD) into three components that separately take into account different\nclasses of filtering errors such as the inaccuracy in filtering noise pulses, the inaccuracy in reducing Gaussian noise, and the amount\nof collateral distortion. Computer simulations show that the proposed method offers significant advantages over other measures of\nfiltering performance in the literature, including the recently proposed vector techniques.
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