使用模式分离直方图均衡化的对比度增强

Sadia Khan Rupa, Md. Faishal Yousuf, Shanto Rahman
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摘要

由于图像采集设备的质量差和恶劣的环境条件,数字图像可能会出现对比度差的问题。人们提出了几种直方图均衡化方法来增强这些图像,但大多数直方图均衡化方法要么产生了伪影的过度增强,要么无法满足消费者期望的对比度。然而,由于像素处理不当,基于直方图均衡化(HE)的技术经常失败。因此,本文介绍了一种新的图像增强方法,称为模式分离直方图均衡化(MSHE),它利用图像的最频繁强度找到一个分离点,然后应用HE。实验定性和定量评价表明,MSHE的对比度增强效果优于其他亮度保持对比度增强技术。
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Contrast Enhancement using Mode-Separate Histogram Equalization
Due to the inferior quality of image capturing devices and acute environmental condition, digital images may suffer from poor contrast. Several histogram equalizing methods have been proposed to enhance these images but most of them either create over enhancement with artifacts or cannot fulfill consumers’ desired contrast. However, due to having improper handling of the pixels, histogram equalization (HE) based techniques often fail. Hence, a new image enhancement approach has been introduced here named as Mode-Separate Histogram Equalization (MSHE) which finds a separation point using most frequent intensity of an image and afterwards HE is applied. In experiments qualitative and quantitative assessments exhibits that the performance of MSHE is better than other contrast enhancement with brightness preservation techniques.
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