Light Field Image Quality Assessment: An Overview
Hailiang Huang, Huanqiang Zeng, Yu Tian, Jing Chen, Jianqing Zhu, Kai‐Kuang Ma
Abstract
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 computer graphics, such as three-dimensional reconstruction, virtual reality, and so on. Considering that the human eyes are the final receivers of the LF images and the LF images are inevitably suffered from various distortions, image quality assessment (IQA) becomes an important issue for the LF images with the goal of evaluating the image quality of the LF images in accordance with the human visual system. This paper presents an up-to-date overview of the IQA specifically for the LF images, focusing on the formation of the LF images, the LF IQA databases and the existing LF IQA models.