This paper presents a performance analysis of measures used for assessing similarities between patches. Compared to subjective ground thruth, our results indicate that some metrics are more suitable than others in a context of patch matching. This conclusion is confirmed by an experiment on non-local means (NLM) denoising algorithm. The denoising quality depends on the chosen similarity metric. In the best case, the gain is of 1.3dB compared to a classical SSD-based denoising algorithm.
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