Quality Evaluation of Holographic Images Coded With Standard Codecs

• Published in: IEEE transactions on multimedia Vol. 24; pp. 3256 - 3264
• Main Authors: Amirpour, Hadi, Pinheiro, Antonio M. G., Fonseca, Elsa, Ghanbari, Mohammad, Pereira, Manuela
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Amplitudes; Codec; Codecs; Digital holography; Holograms; Holography; Image compression; Image quality; Image reconstruction; MOS; Optical distortion; perceived quality; Quality assessment; Three-dimensional displays; Transform coding
• ISSN: 1520-9210; 1941-0077
• DOI: 10.1109/TMM.2021.3096059

Recently, a larger interest in the different plenoptic formats, including digital holograms, has emerged. Aside from other challenges that several steps of the holographic pipeline, from digital acquisition to display, have to face, visual quality assessment of compressed holograms is particularly demanding due to the distinct nature of this 3D image modality when compared to regular 2D imaging. There are few studies on holographic data quality assessment, particularly with respect to perceptual effects of lossy compression. This work aims to study the quality evaluation of digital hologram reconstructions, presented on regular 2D displays, in the presence of compression distortions. As there is no established or generally agreed compression methodology for digital holograms compression on the hologram plane with available implementations, a set of state-of-the-art compression codecs, namely HEVC, AV1, and JPEG2000, were used for compression of the digital holograms on the object plane. Both computer generated and optically generated holograms were considered. Two subjective tests were conducted to evaluate distortions caused by compression. The first subjective test was conducted on the reconstructed amplitude images of central views, while the second test was conducted on pseudo-videos generated from the reconstructed amplitudes of different views. The subjective quality assessment was based on mean opinion scores. A selection of objective quality metrics was evaluated, and their correlations with mean opinion scores were computed. The VIFp metrics appeared to have the highest correlation.