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Reliability of the Most Common Objective Metrics for Light Field Quality Assessment
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...
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| creator | Amirpour, Hadi Pinheiro, Antonio M. G. Pereira, Manuela Ghanbari, Mohammad |
| description | 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. |
| doi_str_mv | 10.1109/ICASSP.2019.8683215 |
| format | conference_proceeding |
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| identifier | EISSN: 2379-190X |
| ispartof | ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.2402-2406 |
| issn | 2379-190X |
| language | eng |
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| source | IEEE Xplore All Conference Series |
| subjects | image quality assessment Light field objective metrics |
| title | Reliability of the Most Common Objective Metrics for Light Field Quality Assessment |
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