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 …

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 …

PM₂. ₅ monitoring: use information abundance measurement and wide and deep learning

K Gu, H Liu, Z Xia, J Qiao, W Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article devises a photograph-based monitoring model to estimate the real-time PM 2.5
concentrations, overcoming currently popular electrochemical sensor-based PM 2.5 …

Unified blind quality assessment of compressed natural, graphic, and screen content images

X Min, K Ma, K Gu, G Zhai, Z Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Digital images in the real world are created by a variety of means and have diverse
properties. A photographical natural scene image (NSI) may exhibit substantially different …

Local and global feature learning for blind quality evaluation of screen content and natural scene images

W Zhou, L Yu, Y Zhou, W Qiu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The blind quality evaluation of screen content images (SCIs) and natural scene images
(NSIs) has become an important, yet very challenging issue. In this paper, we present an …

Quality of experience for streaming services: measurements, challenges and insights

K Bouraqia, E Sabir, M Sadik, L Ladid - IEEE Access, 2020 - ieeexplore.ieee.org
Over the last few years, the evolution of network and user handsets' technologies, have
challenged the telecom industry and the Internet ecosystem. Especially, the unprecedented …

No reference quality assessment for screen content images using stacked autoencoders in pictorial and textual regions

J Yang, Y Zhao, J Liu, B Jiang, Q Meng… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Recently, the visual quality evaluation of screen content images (SCIs) has become an
important and timely emerging research theme. This article presents an effective and novel …

Model-based referenceless quality metric of 3D synthesized images using local image description

K Gu, V Jakhetiya, JF Qiao, X Li, W Lin… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
New challenges have been brought out along with the emerging of 3D-related technologies,
such as virtual reality, augmented reality (AR), and mixed reality. Free viewpoint video …

Unsupervised blind image quality evaluation via statistical measurements of structure, naturalness, and perception

Y Liu, K Gu, Y Zhang, X Li, G Zhai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Most existing blind image quality assessment (BIQA) methods belong to supervised
methods, which always need a large number of image samples and expensive subjective …

Reduced-reference image quality assessment in free-energy principle and sparse representation

Y Liu, G Zhai, K Gu, X Liu, D Zhao… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The free-energy principle in recent studies of brain theory and neuroscience models the
perception and understanding of the outside scene as an active inference process, in which …