Subjective evaluation of texture similarity metrics for compression applications
Johannes Ballé · 2012
The paper summarizes the results of an experimental subjective evaluation of texture similarity metrics with 25 test subjects. The compared metrics comprise the frequency-weighted log-spectral and Itakura distances, as well as a set of metrics based on an overcomplete Gabor-like filterbank - the STSIM as well as two new ones. The test set consists of 30 synthetic GMRF texture pairs. It turns out that all metrics perform well, but the weighted log-spectral distance tends to outperform the filterbank-based metrics.