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Enhancer-based contrast enhancement technique for non-uniform illumination and low-contrast images

机译：基于增强器的对比度增强技术，用于不均匀照明和低对比度图像

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摘要

Digital imaging is widely applied in medical, surveillance, machine vision, and other fields. Occasionally, limited light sources during image acquisition process cause non-uniform illumination and low contrast images. Non-uniform illumination and low-contrast image are challenges faced by researchers during the image processing stage. In this paper, a new algorithm called Enhancer-based Contrast Enhancement (EBCE) is proposed to enhance non-uniform illumination and low-contrast image to produce uniform illumination and improve the contrast of images. The proposed method initially derives two enhancers, namely, bright enhancer and dark enhancer from a blurred input image. The bright and dark enhancers respectively enhance the bright and dark regions of the given input image. To enhance the contrast of the image, limited histogram equalization is applied to both regions. Finally, an enhancement ratio is proposed to control the enhancement level of the images. Compared with state-of-the-art methods, the proposed EBCE method successfully produces better images. Visually, the EBCE method produces the best images with more uniform illumination and better contrast. The method produces the best EME, entropy, and NIQE values when applied to 450 test images.
机译：数字成像已广泛应用于医疗，监视，机器视觉和其他领域。有时，在图像采集过程中受限的光源会导致照明不均匀和对比度低的图像。在图像处理阶段，不均匀的照明和低对比度的图像是研究人员面临的挑战。在本文中，提出了一种新的算法，称为基于增强器的对比度增强（EBCE），以增强不均匀照明和低对比度的图像，以产生均匀的照明并改善图像的对比度。所提出的方法最初从模糊的输入图像中得出两种增强剂，即亮增强剂和暗增强剂。亮和暗增强器分别增强给定输入图像的亮和暗区域。为了增强图像的对比度，将有限的直方图均衡化应用于两个区域。最后，提出了一种增强比来控制图像的增强水平。与最新技术相比，提出的EBCE方法成功产生了更好的图像。在视觉上，EBCE方法可产生具有更均匀照明和更好对比度的最佳图像。当应用于450张测试图像时，该方法可产生最佳的EME，熵和NIQE值。

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