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.
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Heo et al. (2024) studied this question.
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