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Automatic histogram-based contrast enhancement for low-contrast images with small-sized objects

机译:基于直方图的自动对比度增强功能,可用于带有小物体的低对比度图像

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摘要

The problem of image enhancement for low-contrast images with the small-size objects is considered. The histogram-based method for contrast enhancement of low-contrast images with the small-size objects on the basis of the estimation of parameters of contrast distribution at boundaries of image elements for the various definitions of contrast kernels is proposed. The proposed method is intended for the automatic preprocessing of low-contrast images with complex structure. The researches of the effectiveness for the proposed and the well-known histogram-based methods were conducted using the known no-reference contrast metrics.
机译:考虑到具有小尺寸物体的低对比度图像的图像增强问题。提出了一种基于直方图的低对比度图像与小尺寸物体对比度增强方法,该方法基于对各种对比度内核定义的图像元素边界处对比度分布参数的估计。所提出的方法旨在对具有复杂结构的低对比度图像进行自动预处理。使用已知的无参考对比度指标对建议的方法和基于直方图的方法进行有效性研究。

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