Influence of High Level Features of HVS on Performance of FSIM
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Date
2013-12
Authors
Dostal, Petr
Krasula, Lukas
Klima, Milos
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
In this paper the influence of information about high level features of Human Visual System (HVS) on objective quality assessment is studied. This was done by extending the existing full-reference objective image quality metric – FSIM – where the different importance of certain areas of image is considered using Phase Congruency (PC) algorithm. Here, the estimation of Region of Interest (ROI) based on this algorithm is complemented by Fixation Density Maps (FDM) containing the information about high level features of HVS. Use of another low level features based algorithm (Phase Spectrum of Fourier Transform) was also considered and compared to the PC algorithm. The performance was evaluated qualitatively on images reconstructed according to ROI and quantitatively on images from LIVE database. The correlation between subjective and objective tests was calculated using Pearson’s Correlation Coefficient and Spearman’s Rank Order Coefficient. The statistical significance of the difference between correlation coefficients was assessed by Fisher r-to-z transformation. The performance of the metric was also compared to other state-of-the-art image quality metrics (SSIM, MS-SSIM, and FSIM).
Description
Citation
Radioengineering. 2013, vol. 22, č. 4, s. 1048-1056. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1048_1056.pdf
http://www.radioeng.cz/fulltexts/2013/13_04_1048_1056.pdf
Document type
Peer-reviewed
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Published version
Date of access to the full text
Language of document
en