Subjective evaluation of texture similarity metrics for compression applications

Author

Ballé, Johannes

Author_Institution

Inst. fur Nachrichtentech., RWTH Aachen Univ., Aachen, Germany

fYear

2012

fDate

7-9 May 2012

Firstpage

241

Lastpage

244

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Picture Coding Symposium (PCS), 2012

Conference_Location

Krakow

Print_ISBN

978-1-4577-2047-5

Electronic_ISBN

978-1-4577-2048-2

Type

conf

DOI

10.1109/PCS.2012.6213337

Filename

6213337