Screen content quality assessment: Overview, benchmark, and beyond

X Min, K Gu, G Zhai, X Yang, W Zhang… - ACM Computing …, 2021 - dl.acm.org
Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Perceptual image quality assessment with transformers

M Cheon, SJ Yoon, B Kang… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
In this paper, we propose an image quality transformer (IQT) that successfully applies a
transformer architecture to a perceptual full-reference image quality assessment (IQA) task …

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 …

Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks

J Xu, W Zhou, Z Chen - … on Circuits and Systems for Video …, 2020 - ieeexplore.ieee.org
Quality assessment of omnidirectional images has become increasingly urgent due to the
rapid growth of virtual reality applications. Different from traditional 2D images and videos …

UIF: An objective quality assessment for underwater image enhancement

Y Zheng, W Chen, R Lin, T Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to complex and volatile lighting environment, underwater imaging can be readily
impaired by light scattering, warping, and noises. To improve the visual quality, Underwater …

Image quality assessment: Measuring perceptual degradation via distribution measures in deep feature spaces

X Liao, X Wei, M Zhou, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This study aims to develop advanced and training-free full-reference image quality
assessment (FR-IQA) models based on deep neural networks. Specifically, we investigate …

Quality assessment of DIBR-synthesized views: An overview

S Tian, L Zhang, W Zou, X Li, T Su, L Morin, O Deforges - Neurocomputing, 2021 - Elsevier
Abstract The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental
technique to generate new views in 3D video applications, such as Multi-View Videos …

BASICS: Broad quality assessment of static point clouds in a compression scenario

A Ak, E Zerman, M Quach, A Chetouani… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Point clouds have become increasingly prevalent in representing 3D scenes within virtual
environments, alongside 3D meshes. Their ease of capture has facilitated a wide array of …

A metric for light field reconstruction, compression, and display quality evaluation

X Min, J Zhou, G Zhai, P Le Callet… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Owning to the recorded light ray distributions, light field contains much richer information
and provides possibilities of some enlightening applications, and it has becoming more and …

Attentive deep image quality assessment for omnidirectional stitching

H Duan, X Min, W Sun, Y Zhu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Omnidirectional images or videos are commonly generated via the stitching of multiple
images or videos, and the quality of omnidirectional stitching strongly influences the quality …