A Light Field Image Quality Assessment Model Based on Symmetry and Depth Features

• Published in: IEEE transactions on circuits and systems for video technology Vol. 31; no. 5; pp. 2046 - 2050
• Main Authors: Tian, Yu, Zeng, Huanqiang, Hou, Junhui, Chen, Jing, Zhu, Jianqing, Ma, Kai-Kuang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; depth feature; Distortion; Distortion measurement; Feature extraction; Geometry; Image quality; image quality assessment; Light field image; Object recognition; Quality assessment; Symmetry; symmetry feature; Vision systems

This paper presents a new full-reference image quality assessment (IQA) method for conducting the perceptual quality evaluation of the light field (LF) images, called the symmetry and depth feature-based model (SDFM). Specifically, the radial symmetry transform is first employed on the luminance com...