Research Repository

Reliability of the Most Common Objective Metrics for Light Field Quality Assessment

Amirpour, Hadi and Pinheiro, Antonio MG and Pereira, Manuela and Ghanbari, Mohammad (2019) Reliability of the Most Common Objective Metrics for Light Field Quality Assessment. In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019-05-12 - 2019-05-17.

Full text not available from this repository.

Abstract

Light field imaging is a promising technology for 3D computational photography. As Light Field images are represented for multiple views, their subjective evaluation is a very demanding task. Hence, identifying reliable objective quality assessment methodologies plays a very important role. In this paper six objective quality metrics; PSNR-Y, PSNR-YUV, SSIM-Y, MSSSIM-Y, FSIM-Y and HDRVDP2-Y are assessed for five state-of-the-art codecs at various bit-rates. Moreover, the metrics are computed in the linear, perceptually uniform and perceptual quantizer spaces. The results are compared against those of a subjective study and is concluded that the average FSIM-Y is the most reliable metric. The paper also introduces maps of the objective metrics to evaluate the quality dispersion among the different light field image views.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 25 Jul 2019 13:15
Last Modified: 25 Jul 2019 14:15
URI: http://repository.essex.ac.uk/id/eprint/25022

Actions (login required)

View Item View Item