Lightweight agent-based inverse tone mapping

Chansoon Heo; Byeungwoo Jeon

doi:10.1117/12.3018659

2 May 2024 Lightweight agent-based inverse tone mapping

Chansoon Heo, Byeungwoo Jeon

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 131641L (2024) https://doi.org/10.1117/12.3018659
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

In this paper, we propose an Inverse Tone Mapping Operator (iTMO) method that is computationally efficient by employing reinforcement learning. It is designed to convert existing legacy Low Dynamic Range (LDR) contents to High Dynamic Range (HDR) ones, making them more suitable for HDR display devices. Our proposed iTMO leverages a reinforcement learning agent, enabling end to end transforms of single image content of LDR into HDR one without requiring any domain knowledge or heuristic parameter adjustments from the user.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chansoon Heo and Byeungwoo Jeon "Lightweight agent-based inverse tone mapping", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 131641L (2 May 2024); https://doi.org/10.1117/12.3018659

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KEYWORDS

High dynamic range imaging

Image quality

Image processing

Education and training

Quality measurement

Tunable filters

Data modeling

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