Title :
Analysis of patch-based similarity metrics: Application to denoising
Author :
Ebdelli, Mounira ; Le Meur, O. ; Guillemot, Christine
Author_Institution :
INRIA, Rennes, France
Abstract :
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.
Keywords :
image denoising; image matching; NLM denoising; nonlocal means denoising; patch matching; patch-based similarity metrics; performance analysis; Noise measurement; Noise reduction; Observers; PSNR; Probability density function; Probability distribution; denoising; examplar-based; similarity metric;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638018
