Evaluation of the perceptual performance of fuzzy image quality measures

Authors:
Ewout Vansteenkiste;Dietrich Van der Weken;Wilfried Philips;Etienne Kerre
Affiliations:
Image Processing & Interpretation Group, Ghent University, Ghent, Belgium;Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium;Image Processing & Interpretation Group, Ghent University, Ghent, Belgium;Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

Citing 5
Cited 2

A comparison of similarity measures of fuzzy values

Fuzzy Sets and Systems
Using similarity measures for histogram comparison

IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency

IEEE Transactions on Signal Processing
Noise reduction by fuzzy image filtering

IEEE Transactions on Fuzzy Systems
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising

IEEE Transactions on Image Processing

The possibilities of fuzzy logic in image processing

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
On the role of complete lattices in mathematical morphology: From tool to uncertainty model

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a comparison of fuzzy instrumental image quality measures versus experimental psycho-visual data. A psycho-visual experiment we recently performed at our departments was used to collect data on human visual perception. The Multi-Dimensional Scaling (MDS) framework was applied in order to test which of our fuzzy image similarity measures correlates best to this human visual perception. Based on Spearman's Rank Order Correlation coefficient we will show that the M$^{p}_{\rm 6}$ and M$^{h}_{i3}$ measures outperform their peers as well as the commonly used MSE and PSNR measures, in the case where image distortions are less trivial to distinguish with the bare eye.