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DOI: 10.14569/IJACSA.2023.01409112
PDF

Dual-Level Blind Omnidirectional Image Quality Assessment Network Based on Human Visual Perception

Author 1: Deyang Liu
Author 2: Lu Zhang
Author 3: Lifei Wan
Author 4: Wei Yao
Author 5: Jian Ma
Author 6: Youzhi Zhang

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 9, 2023.

  • Abstract and Keywords
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Abstract: With the rapid development of virtual reality (VR) technology, a large number of omnidirectional images (OIs) with uncertain quality are flooding into the internet. As a result, Blind Omnidirectional Image Quality Assessment (BOIQA) has become increasingly urgent. The existing solutions mainly focus on manually or automatically extracting high-level features from OIs, which overlook the important guiding role of human visual perception in this immersive experience. To address this issue, a dual-level network based on human visual perception is developed in this paper for BOIQA. Firstly, a human attention branch is proposed, in which the transformer-based model can efficiently represent attentional features of the human eye within a multi-distance perception image pyramid of viewport. Then, inspired by the hierarchical perception of human visual system, a multi-scale perception branch is designed, in which hierarchical features of six orientational viewports are considered and obtained by a residual network in parallel. Additionally, the correlation features among viewports are investigated to assist the multi-viewport feature fusion, in which the feature maps extracted from different viewports are further measured for their similarity and correlation by the attention-based module. Finally, the output values from both branches are regressed by fully connected layer to derive the final predicted quality score. Comprehensive experiments on two public datasets demonstrate the significant superiority of the proposed method.

Keywords: Omnidirectional image quality assessment; dual-level network; human visual perception; human attention; multi-scale

Deyang Liu, Lu Zhang, Lifei Wan, Wei Yao, Jian Ma and Youzhi Zhang, “Dual-Level Blind Omnidirectional Image Quality Assessment Network Based on Human Visual Perception” International Journal of Advanced Computer Science and Applications(IJACSA), 14(9), 2023. http://dx.doi.org/10.14569/IJACSA.2023.01409112

@article{Liu2023,
title = {Dual-Level Blind Omnidirectional Image Quality Assessment Network Based on Human Visual Perception},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.01409112},
url = {http://dx.doi.org/10.14569/IJACSA.2023.01409112},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {9},
author = {Deyang Liu and Lu Zhang and Lifei Wan and Wei Yao and Jian Ma and Youzhi Zhang}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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