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Quantifying the contrast of objects in a complex image

机译:量化复杂图像中对象的对比度

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This paper addresses the problem of no-reference quantitative assessing the overall contrast in an image. The purpose of this work is to increase the accuracy of quantifying the contrast for complex images. To this end, this paper proposes a new approach to assessing the overall contrast of objects in an image, which based on the analysis of the contrast value of simple images at various given levels of adaptation. Based on this approach, new techniques proposed to quantify the summary contrast of objects of complex multi-element images using the linear and weighted contrast kernels. The proposed technique is parameter-free, simple to implement, computationally low-costs, and can be recommended for image quality assessment in realtime mobile applications.
机译:本文解决了无参考定量评估图像整体对比度的问题。这项工作的目的是提高量化复杂图像对比度的准确性。为此,本文提出了一种评估图像中对象总体对比度的新方法,该方法基于对各种给定适应水平下简单图像的对比度值的分析。基于这种方法,提出了使用线性和加权对比核来量化复杂多元素图像对象的摘要对比的新技术。所提出的技术是无参数的,易于实现的,计算成本低的,并且可以推荐用于实时移动应用中的图像质量评估。

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