Spatial-angular features based no-reference light field quality assessment

doi:10.1016/j.eswa.2024.126061

	Spatial-angular features based no-reference light field quality assessment
	Yu, Zerui 1,2; Li, Fei 2,3; Zhou, Zhiheng 1; Tao, Xiyuan 4
	2025-03-15
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	265 页码:13
摘要	Light Field (LF) is capable of capturing light intensity as well as information about the direction and position of the light, resulting in an immersive visual experience. Visual quality can be greatly influenced by the distortion due to light field image (LFI) processing, such as compression or reconstruction. Therefore, the development of a perceptual quality measure for LFIs is imperative. Refocused images (RIs), as an important form of visualization applications of LF, capture the spatial quality, semantic and depth information, while epipolar plane images (EPIs) reflect the angular consistency. Based on these two kinds of views, a novel spatial- angular features based no-reference light field image quality assessment (NR-LFIQA) metric is presented in this work. Existing methods that use RIs to extract spatial features from LFIs typically follow approaches from the IQA field, neglecting the unique properties of RIs as multi-distorted images. Therefore, this paper proposes to analyze RIs by considering both edge and texture features. For angular features, this paper analyzes the shortcomings of LBP, and the variance-enhanced LBP (VELBP) is designed to improve the adaptability of LBP to light fields. Experimental results show that the proposed model outperforms the existing LFIQA models on four publicly available datasets. The source code for the paper will be published after it is organized.
关键词	Light field image No-reference image quality assessment Refocused images Joint statistics Variance-enhanced local binary patterns
DOI	10.1016/j.eswa.2024.126061
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2022YFF0607001] ; Guangdong Basic and Applied Basic Research Foundation[2023A1515010993] ; Guangdong Provincial Key Laboratory of Human Digital Twin[2022B1212010004] ; Guangzhou City Science and Technology Research Projects[2023B01J0011] ; Jiangmen Science and Technology Research Projects[2021080200070009151] ; Shaoguan Science and Technology Research Project[230316116276286] ; Foshan Science and Technology Research Project[2220001018608] ; Zhuhai Science and Technology Research Project[2320004002668]
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:001385688000001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40809
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhou, Zhiheng
作者单位	1.South China Univ Technol, Sch Future Technol, Guangzhou 510000, Peoples R China 2.PengCheng Lab, Shenzhen 518055, Peoples R China 3.Univ Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China 4.South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China
推荐引用方式 GB/T 7714	Yu, Zerui,Li, Fei,Zhou, Zhiheng,et al. Spatial-angular features based no-reference light field quality assessment[J]. EXPERT SYSTEMS WITH APPLICATIONS,2025,265:13.
APA	Yu, Zerui,Li, Fei,Zhou, Zhiheng,&Tao, Xiyuan.(2025).Spatial-angular features based no-reference light field quality assessment.EXPERT SYSTEMS WITH APPLICATIONS,265,13.
MLA	Yu, Zerui,et al."Spatial-angular features based no-reference light field quality assessment".EXPERT SYSTEMS WITH APPLICATIONS 265(2025):13.