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Image Enhancement Algorithm Using Brightness Preserving Multiple-Interval Histogram Equalization

机译:利用亮度保持多间隔直方图均衡的图像增强算法

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For the low illumination image (such as the X light medical image) enhancement processing, proposed one kind of image enhancement method of multiple section histogram equalization for brightness preservation. Using the cumulative function to calculate the average brightness value, the 0-255 gray interval would be divided into four intervals; the histogram equalization algorithm was performed on each interval. The experimental results showed the algorithm which enhanced the image visual effect is good, and a good solution to the traditional histogram equalization overfull-enhancing phenomenon.
机译:针对低照度图像(如X光医学图像)的增强处理,提出了一种多段直方图均衡的图像增强方法,以保持亮度。使用累积函数计算平均亮度值,将0-255的灰度间隔分为四个间隔。在每个间隔上执行直方图均衡算法。实验结果表明,该算法提高了图像的视觉效果,是解决传统直方图均衡过分增强现象的良好解决方案。

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