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Image Quality Evaluation Metric of Brightness Contrast

机译:亮度对比的图像质量评估指标

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摘要

An image quality evaluation method of brightness contrast is proposed. It is assumed that the change trend of gradual enhancement of an image with a high contrast is different with that of an image with a low contrast; the proposed calculation steps are as follows: First, regarding an image, a series of control parameters of gamma correction (GC) is generated orderly and they are used to implement the GC computation. Second, one reference image is selected from the image set above and the structural similarity (SSIM) method is employed to compute the evaluation results among the selected reference image and each image in the enhanced image set. Third, the control parameters of GC and the computation results of SSIM are used to build a curve. Finally, the Gaussian function is used to fit the curve above and the standard deviation of it is regarded as the brightness contrast metric. Many experiment results have shown the validity of proposed method.
机译:提出了一种亮度对比度的图像质量评价方法。假设高对比度图像的渐进增强的变化趋势与低对比度图像的渐进变化的变化趋势不同。提出的计算步骤如下:首先,对于图像,有序地生成一系列伽玛校正(GC)的控制参数,并将其用于实现GC计算。其次,从上面的图像集中选择一个参考图像,并采用结构相似性(SSIM)方法来计算所选参考图像与增强图像集中的每个图像之间的评估结果。第三,利用GC的控制参数和SSIM的计算结果绘制曲线。最后,使用高斯函数拟合上述曲线,并将其标准偏差视为亮度对比度度量。许多实验结果证明了该方法的有效性。

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