Abstract
In this paper, several state-of-the-art noise reduction algorithms are ranked using both subjective evaluation and 20 objective measures proposed in the literature. The goal of the study was to find the objective quality measure that best relates to the subjective assessment for noise reduction. A measurement set-up comprising a simulation of a TV-transmission channel has been used to provide a realistic assessment of the performance in TV-applications of algorithms reducing Gaussian white noise. Ranking results are given for the subjective evaluation and all objective measures. The correlation between the subjective evaluation results and the objective measures is found to be very low. Results show that even a combination of objective measures only approximates the subjective assessment of the quality of noise reduction algorithms to a limited extent.
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