Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution
Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution
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DOI：
10.1109/tip.2012.2226047
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发表时间：
2013-03-01
影响因子：
10.6
通讯作者：
Chiu, Yi-Sheng
中科院分区：
文献类型：
--
作者：
Huang, Shih-Chia;Cheng, Fan-Chieh;Chiu, Yi-Sheng
本文提出了一种有效的方法来修改直方图和增强对比度的数字图像。增强在数字图像处理、计算机视觉和模式识别中起着重要的作用。我们提出了一种自动变换技术，通过伽马校正和亮度像素的概率分布来提高变暗图像的亮度。为了增强视频，所提出的图像增强方法使用关于每个帧之间的差异的时间信息来降低计算复杂度。实验结果表明，该方法产生的增强图像的可比性或更高的质量比使用以前的国家的最先进的方法。
This paper proposes an efficient method to modify histograms and enhance contrast in digital images. Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition. We present an automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels. To enhance video, the proposed image-enhancement method uses temporal information regarding the differences between each frame to reduce computational complexity. Experimental results demonstrate that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.