@inproceedings{d288c71668884ebda1e334f67bf6782d,
title = "Analysis of HVS-metrics{\textquoteright} properties using color image database TID2013",
abstract = "Various full-reference (FR) image quality metrics (indices) that take into account peculiarities of human vision system (HVS) have been proposed during last decade. Most of them have been already tested on several image databases including TID2013, a recently proposed database of distorted color images. Metrics performance is usually characterized by the rank order correlation coefficients of the considered metric and a mean opinion score (MOS). In this paper, we characterize HVS-metrics from another practically important viewpoint. We determine and analyze image statistics such as mean and standard deviation for several state of the art quality metrics on classes of images with multiple or particular types of distortions. This allows setting threshold value(s) for a given metric and application.",
keywords = "Color image database, Full reference metrics, Mean opinion score, Threshold values, Visual quality",
author = "Nikolay Ponomarenko and Vladimir Lukin and Jaakko Astola and Karen Egiazarian",
year = "2015",
doi = "10.1007/978-3-319-25903-1\_53",
language = "English",
isbn = "978-3-319-25902-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer-Verlag",
pages = "613--624",
booktitle = "Advanced Concepts for Intelligent Vision Systems",
note = "Advanced Concepts for Intelligent Vision Systems ; Conference date: 01-01-1900",
}