Perceptual image quality assessment: a survey

G Zhai, X Min - Science China Information Sciences, 2020 - Springer
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

MC360IQA: A multi-channel CNN for blind 360-degree image quality assessment

W Sun, X Min, G Zhai, K Gu, H Duan… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
360-degree images/videos have been dramatically increasing in recent years. The
characteristic of omnidirectional-view results in high resolution of 360-degree …

No-reference quality assessment for 360-degree images by analysis of multifrequency information and local-global naturalness

W Zhou, J Xu, Q Jiang, Z Chen - IEEE Transactions on Circuits …, 2021 - ieeexplore.ieee.org
360-degree/omnidirectional images (OIs) have received remarkable attention due to the
increasing applications of virtual reality (VR). Compared to conventional 2D images, OIs can …

Free-energy principle inspired visual quality assessment: An overview

G Zhai, X Min, N Liu - Digital Signal Processing, 2019 - Elsevier
The free energy principle was proposed several years ago as a unified justification for some
brain theories. The process of human perception, cognition, action, and learning can be well …

A no-reference evaluation metric for low-light image enhancement

Z Zhang, W Sun, X Min, W Zhu, T Wang… - … on Multimedia and …, 2021 - ieeexplore.ieee.org
Low-light images, which are usually taken in dark or back-lighting conditions, are hard to
perceive due to the low visibility and low contrast. To improve viewers' Quality of Experience …

DeepFL-IQA: Weak supervision for deep IQA feature learning

H Lin, V Hosu, D Saupe - arXiv preprint arXiv:2001.08113, 2020 - arxiv.org
Multi-level deep-features have been driving state-of-the-art methods for aesthetics and
image quality assessment (IQA). However, most IQA benchmarks are comprised of artificially …

Super-resolution image visual quality assessment based on structure–texture features

F Zhou, W Sheng, Z Lu, B Kang, M Chen… - Signal Processing: Image …, 2023 - Elsevier
Assessing the visual quality of super-resolution images (SRIs) is crucial for advancing
algorithm development, but it remains an unsolved problem. In this paper, we present a …

Semi-reference sonar image quality assessment based on task and visual perception

W Chen, K Gu, T Zhao, G Jiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In submarine and underwater detection tasks, conventional optical imaging and analysis
methods are not universally applicable due to the limited penetration depth of visible light …

Blind light field image quality assessment by analyzing angular-spatial characteristics

Y Cui, M Yu, Z Jiang, Z Peng, F Chen - Digital Signal Processing, 2021 - Elsevier
Abstract Light Field Image (LFI) can simultaneously record the intensity and direction
information of light rays, and provide users with strong immersion experience. However …

Comparative perceptual assessment of visual signals using free energy features

G Zhai, Y Zhu, X Min - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
In this paper, we put forward the concept of comparative perceptual quality assessment (C-
PQA), which refers to the judgment of relative qualities of two visual signals of the same …