TY - GEN
T1 - Study on subjective quality assessment of Digital Compound Images
AU - Yang, Huan
AU - Lin, Weisi
AU - Deng, Chenwei
AU - Xu, Long
PY - 2014
Y1 - 2014
N2 - Quality assessment of digital compound images is a less investigated research topic. In this paper, we present a study for subjective quality assessment of Digital Compound Images (DCIs), and investigate whether existing Image Quality Assessment (IQA) methods are effective to evaluate the quality of distorted DCIs. A new Compound Image Quality Assessment Database (CIQAD) is constructed, including 24 reference DCIs and their 576 distorted versions. The Paired Comparison (PC) method is employed for the subjective viewing, and the Hodgerank decomposition is adopted to generate incomplete but balanced comparison pairs, so as to reduce the execution time while guaranteeing the reliability of the results. In our experiment, correlation of 14 existing IQA methods with the obtained Mean Opinion Score (MOS) values on the CIQAD is calculated, which indicates that the 14 IQA methods are not consistent with human visual perception when judging DCIs in different conditions. Therefore, objective quality assessment metrics should be specifically designed for DCIs. Our subjective study has delivered convincing information to guide the construction of objective metrics. Furthermore, we has also published the database online to favor future research on quality assessment of DCIs.
AB - Quality assessment of digital compound images is a less investigated research topic. In this paper, we present a study for subjective quality assessment of Digital Compound Images (DCIs), and investigate whether existing Image Quality Assessment (IQA) methods are effective to evaluate the quality of distorted DCIs. A new Compound Image Quality Assessment Database (CIQAD) is constructed, including 24 reference DCIs and their 576 distorted versions. The Paired Comparison (PC) method is employed for the subjective viewing, and the Hodgerank decomposition is adopted to generate incomplete but balanced comparison pairs, so as to reduce the execution time while guaranteeing the reliability of the results. In our experiment, correlation of 14 existing IQA methods with the obtained Mean Opinion Score (MOS) values on the CIQAD is calculated, which indicates that the 14 IQA methods are not consistent with human visual perception when judging DCIs in different conditions. Therefore, objective quality assessment metrics should be specifically designed for DCIs. Our subjective study has delivered convincing information to guide the construction of objective metrics. Furthermore, we has also published the database online to favor future research on quality assessment of DCIs.
UR - http://www.scopus.com/inward/record.url?scp=84907419188&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2014.6865593
DO - 10.1109/ISCAS.2014.6865593
M3 - Conference contribution
AN - SCOPUS:84907419188
SN - 9781479934324
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2149
EP - 2152
BT - 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
Y2 - 1 June 2014 through 5 June 2014
ER -