Comparison of Quality Metrics of Perspective and Refocused Images in Light Field Images

라이트필드 영상의 Perspective 및 재초점 화질측정방법 비교

  • Duong, Vinh Van (Department of Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Nguyen, Thuc Huu (Department of Electrical and Computer Engineering, Sungkyunkwan University) ;
  • Jeon, Byeungwoo (Department of Electrical and Computer Engineering, Sungkyunkwan University)
  • ;
  • ;
  • 전병우 (성균관대학교 전자전기컴퓨터공학과)
  • Published : 2019.11.29

Abstract

Digital refocusing and perspective change are the most expected applications of light field (LF) images. As LF image has a large amount of data, its compression is very essential. The fidelity of LF image after compression needs to be evaluated differently depending on a specific application such as perspective change or refocusing. In this paper, we investigate the fidelity of images after perspective change and refocusing. Several state-of-the-art objective quality metrics are compared. Our experiment shows that IWPSNR is the most reliable metric for both perspective and focus changes, but it does not outperform the popular metrics such as PSNR and SSIM.

Keywords