Automatic blended tone mapping through evolutionary optimization
| Autor: | Dirk V. Arnold, Stephen Brooks, Xihe Gao |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Brightness
Image quality Computer science Dynamic range business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Tone mapping Tone (musical instrument) Distortion 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business High dynamic range ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | CEC |
| DOI: | 10.1109/cec.2016.7744278 |
| Popis: | Tone mapping is the process of transforming high dynamic range images for display on low dynamic range devices. While many tone mapping operators have been proposed, there is no single operator that generates optimal results under all conditions. Blending the results from multiple operators with varying weights allows for leveraging the strengths of each of the operators considered. Prior work has used interactive evolution as a tool for blended tone mapping. In this paper, we build on recent progress in the development of objective quality measures for tone mapped images that allows us to automate the process of evolving blended tone mapped images. The quality measure used assesses tone mapped images in terms of brightness, visual saliency, and detail reproduction in bright and dark regions and assigns an overall score to each image. The blended tone mapping problem can then be solved as an optimization problem, where the operators' parameters and the weights that determine the relative influence of each operator are tuned to generate images with optimal perceptual quality. We show that the optimization can be accomplished with an evolutionary algorithm. Experiments with high dynamic range images demonstrate the effectiveness of our approach. |
| Databáze: | OpenAIRE |
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