A Histogram Modification Framework and Its Application for Image Contrast Enhancement
A Histogram Modification Framework and Its Application for Image Contrast Enhancement
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DOI：
10.1109/tip.2009.2021548
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发表时间：
2009-09-01
影响因子：
10.6
通讯作者：
Altunbasak, Yucel
中科院分区：
文献类型：
--
作者：
Arici, Tarik;Dikbas, Salih;Altunbasak, Yucel
提出了一种基于直方图均衡的图像对比度增强通用框架。在此框架中，对比度增强被视为最小化成本函数的优化问题。直方图均衡是对比度增强的有效技术。然而，传统的直方图均衡化 (HE) 通常会导致过度的对比度增强，从而使处理后的图像看起来不自然并产生视觉伪影。通过引入专门设计的惩罚项，可以调整对比度增强的水平；噪声鲁棒性、白/黑拉伸和平均亮度保留可以很容易地纳入优化中。提出了一些重要标准的分析解决方案。最后，提出了一种低复杂度的对比度增强算法，并根据最近提出的方法证明了其性能。
A general framework based on histogram equalization for image contrast enhancement is presented. In this framework, contrast enhancement is posed as an optimization problem that minimizes a cost function. Histogram equalization is an effective technique for contrast enhancement. However, a conventional histogram equalization (HE) usually results in excessive contrast enhancement, which in turn gives the processed image an unnatural look and creates visual artifacts. By introducing specifically designed penalty terms, the level of contrast enhancement can be adjusted; noise robustness, white/black stretching and mean-brightness preservation may easily be incorporated into the optimization. Analytic solutions for some of the important criteria are presented. Finally, a low-complexity algorithm for contrast enhancement is presented, and its performance is demonstrated against a recently proposed method.