Tone Mapping

Tone mapping is the process of converting high dynamic range (HDR) images, which contain a wider range of brightness levels than standard displays can reproduce, into low dynamic range (LDR) images suitable for display. Current research emphasizes improving the perceptual quality of tone-mapped images, focusing on algorithms that incorporate perceptual models of human vision and leverage deep learning architectures like generative adversarial networks and U-Nets, often combined with techniques like multi-scale processing and histogram analysis. These advancements aim to enhance color accuracy, preserve detail in both bright and dark regions, and increase computational efficiency, impacting applications ranging from automotive surround-view systems to HDR video production and thermal imaging.