Title :
Subjective evaluation of texture similarity metrics for compression applications
Author_Institution :
Inst. fur Nachrichtentech., RWTH Aachen Univ., Aachen, Germany
Abstract :
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.
Keywords :
Gabor filters; Gaussian processes; Markov processes; data compression; image coding; image texture; random processes; Itakura distance; compression application; experimental subjective evaluation; frequency-weighted log-spectral; overcomplete Gabor-like filterbank; structural texture similarity index; synthetic Gaussian Markov random field texture pair; texture similarity metrics; weighted log-spectral distance; Analytical models; Computational modeling; Correlation; Encoding; Image coding; Measurement; Visualization;
Conference_Titel :
Picture Coding Symposium (PCS), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4577-2047-5
Electronic_ISBN :
978-1-4577-2048-2
DOI :
10.1109/PCS.2012.6213337
