IV-PSNR—the objective quality metric for immersive video applications

A Dziembowski, D Mieloch… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents a new objective quality metric that was adapted to the complex
characteristics of immersive video (IV) which is prone to errors caused by processing and …

Blind image quality assessment: A fuzzy neural network for opinion score distribution prediction

Y Gao, X Min, Y Zhu, XP Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Image quality assessment (IQA) has always been a popular research topic. There have
been many methods proposed for predicting image quality, also known as the mean opinion …

Stitched wide field of view light field image quality assessment: Benchmark database and objective metric

Y Cui, G Jiang, M Yu, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the limitation of commercial light field camera hardware devices, the imaging field of
view is quite narrow. Numerous Light Field Image (LFI) stitching algorithms have been …

Light field imaging for computer vision: a survey

C Jia, F Shi, M Zhao, S Chen - Frontiers of Information Technology & …, 2022 - Springer
Light field (LF) imaging has attracted attention because of its ability to solve computer vision
problems. In this paper we briefly review the research progress in computer vision in recent …

Objective quality assessment of lenslet light field image based on focus stack

C Meng, P An, X Huang, C Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The large amount of complex scene information recorded by light field imaging has the
potential for immersive media applications. Compression and reconstruction algorithms are …

Light field image quality assessment: An overview

H Huang, H Zeng, Y Tian, J Chen… - 2020 IEEE Conference …, 2020 - ieeexplore.ieee.org
The light field (LF) images have received significant attentions from both academia and
industry, which allow a wide range of applications in the areas of computer vision and …

EDDMF: An efficient deep discrepancy measuring framework for full-reference light field image quality assessment

Z Zhang, S Tian, W Zou, L Morin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing demand for immersive experience has greatly promoted the quality
assessment research of Light Field Image (LFI). In this paper, we propose an efficient deep …

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 …

Screen content video quality assessment: Subjective and objective study

S Cheng, H Zeng, J Chen, J Hou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we make the first attempt to study the subjective and objective quality
assessment for the screen content videos (SCVs). For that, we construct the first large-scale …

A spatial and geometry feature-based quality assessment model for the light field images

H Huang, H Zeng, J Hou, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a new full-reference image quality assessment (IQA) model for
performing perceptual quality evaluation on light field (LF) images, called the spatial and …