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Dynamic recursive subimage histogram equalization algorithm for image contrast enhancement

机译:图像对比度增强的动态递归子图均衡算法

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Contrast enhancement plays a fundamental role in image processing. Histogram equalization is a well-known and effective technique for enhancing the contrast of the input image, however it fails to preserve the brightness of the image. In order to preserve natural appearance and brightness of enhanced images, we propose a new dynamic recursive sub-image histogram equalization method for contrast enhancement. Experimental results show that, for the variety of test images, the proposed method enhances contrast effectively, while preserving brightness and natural appearance.
机译:对比度增强在图像处理中起着基本作用。直方图均衡是用于增强输入图像的对比度的众所周知的有效技术,但是它不能保留图像的亮度。为了保持增强图像的自然外观和亮度,我们提出了一种新的动态递归子图像直方图均衡方法,用于对比度增强。实验结果表明,对于各种测试图像,所提出的方法有效地增强了对比度,同时保持亮度和自然外观。

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