Adaptive image contrast enhancement using generalizations of histogram equalization
Adaptive image contrast enhancement using generalizations of histogram equalization
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DOI：
10.1109/83.841534
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发表时间：
2000-05-01
影响因子：
10.6
通讯作者：
Stark, JA
中科院分区：
文献类型：
--
作者：
Stark, JA
提出了一种基于直方图均衡化的自适应图像对比度增强方法。HE是一种用于改善图像对比度的有用技术，但其效果对于许多用途来说太严重。然而，通过相对较小的修改可以获得显著不同的结果。阐述了自适应HE的简明描述，并且该框架用于讨论过去对HE的变化的建议。该形式主义的一个关键特征是“累积函数”，其用于从局部直方图生成灰度级映射，通过选择累积函数的替代形式，可以实现各种各样的效果。提出了具体形式。通过一个或两个参数的变化，所得到的过程可以产生一定范围的对比度增强，在一个极端保持图像不变，在另一个极端产生完全自适应均衡。
This paper proposes a scheme for adaptive image contrast enhancement based on a generalization of histogram equalization (HE). HE is a useful technique for improving image contrast, but its effect is too severe for many purposes. However, dramatically different results can be obtained with relatively minor modifications.A concise description of adaptive HE is set out, and this framework is used in a discussion of past suggestions for variations on HE, A key feature of this formalism is a "cumulation function," which is used to generate a grey level mapping from the Local histogram, By choosing alternative forms of cumulation function one can achieve a wide variety of effects. A specific form is proposed. Through the variation of one or two parameters, the resulting process can produce a range of degrees of contrast enhancement, at one extreme leaving the image unchanged, at another yielding full adaptive equalization.