Evaluation of a difference of gaussians based image difference metric in relation to perceived compression artifacts

3Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we investigate if the Difference of Gaussians model is able to predict observers perceived difference in relation to compression artifacts. A new image difference metric for specifically designed for compression artifacts is proposed. In order to evaluate this new metric a psychophysical experiment is carried out, where a dataset of 80 compressed JPEG and JPEG2000 images were generated from 10 different scenes. The results of the psychophysical experiment with 18 observers and the quality scores obtained from a large number of image difference metrics are presented. Furthermore, a quantitative study based on a number of image difference metrics and five additional databases is performed in order to reveal the potential of the proposed metric. The analyses show that the proposed metric and most of the tested ones do not correlate well with the subjective test results, and thus the increased complexity of the recent metrics is not justified. © 2010 Springer-Verlag.

Cite

CITATION STYLE

APA

Simone, G., Caracciolo, V., Pedersen, M., & Cheikh, F. A. (2010). Evaluation of a difference of gaussians based image difference metric in relation to perceived compression artifacts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6454 LNCS, pp. 491–500). https://doi.org/10.1007/978-3-642-17274-8_48

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free