Perceptually motivated loss functions for computer generated holographic displays
Wilkinson, Timothy D.
Nature Publishing Group UK
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Yang, F., Kadis, A., Mouthaan, R., Wetherfield, B., Kaczorowski, A., & Wilkinson, T. D. (2022). Perceptually motivated loss functions for computer generated holographic displays. https://doi.org/10.1038/s41598-022-11373-8
Funder: The Cambridge Trust
Funder: The China Scholarship Council
Funder: Richard Norman Scholarship
Funder: VividQ Ltd.
Abstract: Understanding and improving the perceived quality of reconstructed images is key to developing computer-generated holography algorithms for high-fidelity holographic displays. However, current algorithms are typically optimized using mean squared error, which is widely criticized for its poor correlation with perceptual quality. In our work, we present a comprehensive analysis of employing contemporary image quality metrics (IQM) as loss functions in the hologram optimization process. Extensive objective and subjective assessment of experimentally reconstructed images reveal the relative performance of IQM losses for hologram optimization. Our results reveal that the perceived image quality improves considerably when the appropriate IQM loss function is used, highlighting the value of developing perceptually-motivated loss functions for hologram optimization.
Article, /639/624/1075/146, /639/624/1107/510, article
Engineering and Physical Sciences Research Council (EP/P030181/1)
External DOI: https://doi.org/10.1038/s41598-022-11373-8
This record's URL: https://www.repository.cam.ac.uk/handle/1810/341320