Characterization of difference detection thresholds in AWGN-degraded images by using full reference metrics

Authors:
Ronaldo De F. Zampolo;Diego De A. Gomes;Rui Seara
Affiliations:
Signal Processing Laboratory, Computer Engineering Faculty, Federal University of Pará, Belém, PA, Brazil;Signal Processing Laboratory, Computer Engineering Faculty, Federal University of Pará, Belém, PA, Brazil;LINSE, Signal Processing and Circuits, Electrical Engineering Department, Federal University of Santa Catarina, Florianópolis, SC, Brazil
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper addresses the use of full reference metrics in the characterization of perceptual difference in a pair of images, in which one of them is degraded by additive white Gaussian noise (AWGN). Conventional (SNR, PSNR, and CC) and perceptual (MSSIM, IFC, VIF, and C4) full reference metrics are considered. The subjective experiment, which upholds the presented results, has been carried out with approximately 120 human subjects, considering a test set of 60 images divided into 5 groups. The difference detection threshold is defined as the value for a given metric from which human subjects perceive the difference between the reference and test images. In this sense, the performed data analysis aims both to derive difference detection thresholds for each tested metric and to evaluate their consistency.