Table of Contents
ISRN Machine Vision
Volume 2014 (2014), Article ID 579658, 11 pages
Research Article

Performance Evaluation of Noise Reduction Filters for Color Images through Normalized Color Difference (NCD) Decomposition

Department of Engineering and Architecture, University of Trieste, Via A. Valerio 10, 34127 Trieste, Italy

Received 22 October 2013; Accepted 18 December 2013; Published 22 January 2014

Academic Editors: F. J. Cuevas-de-la-Rosa, A. Nikolaidis, S.-H. Ong, and N. A. Schmid

Copyright © 2014 Fabrizio Russo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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