No-reference light field image quality assessment based on micro-lens image

Luo, Ziyuan, Zhou, Wei, Shi, Likun and Chen, Zhibo 2020. No-reference light field image quality assessment based on micro-lens image. Presented at: Picture Coding Symposium, PCS, Ningbo, China, 12-15 November 2019. 2019 Picture Coding Symposium (PCS). IEEE Xplore. IEEE, pp. 1-5. 10.1109/PCS48520.2019.8954551

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Abstract

Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be represented as 4-D signal, and its quality depends on both angular consistency and spatial quality. However, few existing LF-IQA methods concentrate on effects caused by angular inconsistency. Especially, no-reference methods lack effective utilization of 2D angular information. In this paper, we focus on measuring the 2-D angular consistency for LF-IQA. The Micro-Lens Image (MLI) refers to the angular domain of the LF image, which can simultaneously record the angular information in both horizontal and vertical directions. Since the MLI contains 2D angular information, we propose a No-Reference Light Field image Quality assessment model based on MLI (LF-QMLI). Specifically, we first utilize Global Entropy Distribution (GED) and Uniform Local Binary Pattern descriptor (ULBP) to extract features from the MLI, and then pool them together to measure angular consistency. In addition, the information entropy of SubAperture Image (SAI) is adopted to measure spatial quality. Extensive experimental results show that LF-QMLI achieves the state-of-the-art performance.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IEEE
ISBN:	978-1-7281-4705-5
ISSN:	2330-7935
Last Modified:	29 Aug 2023 15:45
URI:	https://orca.cardiff.ac.uk/id/eprint/161673

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