.png){kind=icon}
返回
Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling
.png){kind=icon}
OA
AI
DOI：10.1109/TIP.2011.2162419.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose an adaptive image equalization algorithm that automatically enhances the contrast in an input image. The algorithm uses the Gaussian mixture model to model the image gray-level distribution, and the intersection points of the Gaussian components in the model are used to partition the dynamic range of the image into input gray-level intervals. The contrast equalized image is generated by transforming the pixels' gray levels in each input interval to the appropriate output gray-level interval according to the dominant Gaussian component and the cumulative distribution function of the input interval. To take account of the hypothesis that homogeneous regions in the image represent homogeneous silences (or set of Gaussian components) in the image histogram, the Gaussian components with small variances are weighted with smaller values than the Gaussian components with larger variances, and the gray-level distribution is also used to weight the components in the mapping of the input interval to the output interval. Experimental results show that the proposed algorithm produces better or comparable enhanced images than several state-of-the-art algorithms. Unlike the other algorithms, the proposed algorithm is free of parameter setting for a given dynamic range of the enhanced image and can be applied to a wide range of image types.
Keyword:
Contrast enhancement
Gaussian mixture modeling
global histogram equalization (GHE)
histogram partition
normal distribution
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
引用论文
.png){kind=icon}
A Histogram Modification Framework and Its Application for Image Contrast Enhancement一种直方图修正框架及其在图像对比度增强中的应用
PREAI
分享收藏Brightness preserving histogram equalization with maximum entropy: A variational perspective基于最大熵的亮度保持直方图均衡化: 变分观点
PREAI
分享收藏
Transform coefficient histogram-based image enhancement algorithms using contrast entropy基于变换系数直方图的对比熵图像增强算法
PREAI
分享收藏Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation使用递归均值分离直方图均衡进行可扩展亮度保持的对比度增强OAAI
OAAI分享收藏
查看更多内容