Abstract

Based on recent findings and models from vision science, we present in this chapter effective tone mapping and inverse tone mapping algorithms for production, post-production and exhibition. These methods are automatic and real-time, and they have been both fine-tuned and validated by cinema professionals, with psychophysical tests demonstrating that the proposed algorithms outperform both the academic and industrial state-of-the-art. We believe these methods bring the field closer to having fully automated solutions for important challenges for the cinema industry that are currently solved manually or sub-optimally. As in the case of gamut mapping, we also show that state-of-the-art image quality metrics are not capable of predicting observers' preferences for tone mapping and inverse tone mapping results.

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