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Content Dependent Contrast Enhancement for Displays based on Cumulative Distribution Function

机译:基于累积分布函数的内容依赖对比度增强

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摘要

Perceived contrast is one of the most important attributes affecting image quality on displays. Three dimensional digital TVs need contrast enhancement techniques to compensate for reduction in luminance levels. Also, mobile displays demand efficient contrast enhancement techniques to improve degree of visibility under outdoor viewing environment and reduce power consumptions. This paper presents a new content dependent contrast enhancement technique to improve perceived image quality on displays. It is designed for real time implementation. Pairs of reference cumulative distribution functions (CDF) of luminance level and corresponding tone mapping functions (TMFs) are generated by off-line procedure. For real time implementation, an appropriate TMF is selected by comparing the CDF of input image and reference CDFs. The selected TMF is then applied to an input image.
机译:感知对比度是影响显示器图像质量的最重要属性之一。三维数字电视需要对比度增强技术来补偿亮度水平的降低。而且,移动显示器需要有效的对比度增强技术,以提高在室外观看环境下的可见度并减少功耗。本文提出了一种新的依赖内容的对比度增强技术,以改善显示器上的感知图像质量。它是为实时实施而设计的。通过离线过程生成成对的亮度水平参考累积分布函数(CDF)和相应的色调映射函数(TMF)。对于实时实现,通过比较输入图像的CDF和参考CDF来选择适当的TMF。然后将选定的TMF应用于输入图像。

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