Supervised Learning in Automatic Selection of Preferred Inverse Tone-Mapping Operator for HDR Display

Hsuan-Chi Huang

doi:https://doi.org/10.36463/idw.2020.0584

9:40 AM - 10:00 AM

[VHF4/AIS2-3] Supervised Learning in Automatic Selection of Preferred Inverse Tone-Mapping Operator for HDR Display

Hsuan-Chi Huang¹, *Pei-Li Sun¹, Hung-Chung Li² (1. National Taiwan University of Science and Technology(Taiwan), 2. Academia Sinica(Taiwan))

HDR display, Image quality, Inverse tone-mapping, Machine learning

https://doi.org/10.36463/idw.2020.0584

Preferred SDR-to-HDR images for HDR display depend on not only inverse tone-mapping methods, but also image contents. We build an operation prediction system based on supervised learning like machine learning and deep learning. A validation experiment demonstrates that our prediction system is highly reliable.

Proceedings of the International Display Workshops Volume 27 (IDW '20)

[VHF4/AIS2-3] Supervised Learning in Automatic Selection of Preferred Inverse Tone-Mapping Operator for HDR Display