Quaternion wavelet transform based full reference image quality assessment for multiply distorted images

Chaofeng Li; Yifan Li; Yunhao Yuan; Xiaojun Wu; Qingbing Sang

doi:10.1371/journal.pone.0199430

Quaternion wavelet transform based full reference image quality assessment for multiply distorted images

PLoS One. 2018 Jun 27;13(6):e0199430. doi: 10.1371/journal.pone.0199430. eCollection 2018.

Authors

Chaofeng Li¹, Yifan Li², Yunhao Yuan³, Xiaojun Wu², Qingbing Sang²

Affiliations

¹ Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, China.
² School of Internet of Things Engineering, Jiangnan University, Wuxi, China.
³ College of Information Engineering, Yangzhou University, Yangzhou, China.

Abstract

Most of real-world image distortions are multiply distortion rather than single distortion. To address this issue, in this paper we propose a quaternion wavelet transform (QWT) based full reference image quality assessment (FR IQA) metric for multiply distorted images, which jointly considers the local similarity of phase and magnitude of each subband via QWT. Firstly, the reference images and distorted images are decomposed by QWT, and then the similarity of amplitude and phase are calculated on each subband, thirdly the IQA metric is constructed by the weighting method considering human visual system (HVS) characteristics, and lastly the scores of each subband are averaged to get the quality score of test image. Experimental results show that the proposed method outperforms the state of art in multiply distorted IQA.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Image Processing, Computer-Assisted / methods*
Image Processing, Computer-Assisted / standards*
Models, Theoretical*
Wavelet Analysis*

Grants and funding

This work was supported by the National Natural Science Foundation of China (No. 61771223), and NSF of Hebei Province under Grant F2016202144, and the youth fund from the Department of Education of Hebei Province under grant QN2016217. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.