Underwater image enhancement quality evaluation: Benchmark dataset and objective metric

Q Jiang, Y Gu, C Li, R Cong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the attenuation and scattering of light by water, there are many quality defects in raw
underwater images such as color casts, decreased visibility, reduced contrast, et al.. Many …

GraphIQA: Learning distortion graph representations for blind image quality assessment

S Sun, T Yu, J Xu, W Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A good distortion representation is crucial for the success of deep blind image quality
assessment (BIQA). However, most previous methods do not effectively model the …

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 image super-resolution using deformable convolution

Y Wang, J Yang, L Wang, X Ying, T Wu… - … on Image Processing, 2020 - ieeexplore.ieee.org
Light field (LF) cameras can record scenes from multiple perspectives, and thus introduce
beneficial angular information for image super-resolution (SR). However, it is challenging to …

[HTML][HTML] Connected without disconnection: Overview of light field metaverse applications and their quality of experience

PA Kara, RR Tamboli, VK Adhikarla, T Balogh… - Displays, 2023 - Elsevier
With the rapid technological advances of the recent years, the practical instances of the
metaverse have become more immersive and engaging than ever before. In their most …

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 …

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 …

Learning-based light field imaging: an overview

S Mahmoudpour, C Pagliari, P Schelkens - EURASIP Journal on Image …, 2024 - Springer
Conventional photography can only provide a two-dimensional image of the scene, whereas
emerging imaging modalities such as light field enable the representation of higher …

Blind quality assessment of dense 3D point clouds with structure guided resampling

W Zhou, Q Yang, W Chen, Q Jiang, G Zhai… - ACM Transactions on …, 2024 - dl.acm.org
Objective quality assessment of three-dimensional (3D) point clouds is essential for the
development of immersive multimedia systems in real-world applications. Despite the …

Lfacon: Introducing anglewise attention to no-reference quality assessment in light field space

Q Qu, X Chen, YY Chung, W Cai - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Light field imaging can capture both the intensity information and the direction information of
light rays. It naturally enables a six-degrees-of-freedom viewing experience and deep user …