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Adaptive Tone Mapping for Display Enhancement under Ambient Light Using Constrained Optimization
Displays ( IF 3.7 ) Pub Date : 2019-01-01 , DOI: 10.1016/j.displa.2018.10.005
Haonan Su , Cheolkon Jung , Lu Wang , Shuyao Wang , Yuanjia Du

Abstract We propose adaptive tone mapping for display enhancement under ambient light using constrained optimization. To deal with the visibility reduction caused by ambient light in displays, we perform different operations for display enhancement according to the intensity of ambient light. Since weak ambient light has little effect on displayed images, we only perform contrast enhancement for them. However, strong ambient light makes displayed images dark for human eyes, causing severe visibility reduction in luminance and contrast. To enhance the visibility of displayed images under strong ambient light, we formulate a constraint optimization problem which consists of luminance enhancement, contrast enhancement, and distortion minimization terms, and find an optimal trade-off among them by solving it. Finally, we conduct color scaling to reproduce vivid colors in displayed images. Experimental results demonstrate that the proposed method significantly enhances the brightness, contrast, details, and colors of displayed images and outperforms other state-of-the-art methods under ambient light.

中文翻译:

使用约束优化的环境光下显示增强的自适应色调映射

摘要 我们提出了使用约束优化的自适应色调映射,用于环境光下的显示增强。为了解决显示器中环境光导致的能见度降低,我们根据环境光的强度进行不同的显示增强操作。由于微弱的环境光对显示的图像影响不大,我们只对它们进行对比度增强。然而,强烈的环境光会使显示的图像对人眼来说变暗,从而导致亮度和对比度的可见度严重降低。为了增强强环境光下显示图像的可见性,我们制定了一个约束优化问题,该问题由亮度增强、对比度增强和失真最小化项组成,并通过求解在它们之间找到最佳权衡。最后,我们进行颜色缩放以在显示的图像中重现鲜艳的色彩。实验结果表明,所提出的方法显着增强了显示图像的亮度、对比度、细节和颜色,并且在环境光下优于其他最先进的方法。
更新日期:2019-01-01
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