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Contrast enhancement by using global and local histogram information jointly

机译:通过共同使用全局和局部直方图信息来增强对比度

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Global histogram equalization (GHE) is a common technique used to enhance image contrast by utilizing the histogram information of the input image to create its transformation function. However, it usually fails to adapt with the local image brightness features. By contrast, Local histogram equalization (LHE) is suitable for handling the local feature; whereas it suffers from halo or blocking artifacts and requires high computation power. This paper presents an effective hybrid method for image contrast enhancement that jointly combines local information and global information. Therefore, it provides a regional enhanced effect without generating visual artifacts or halo in local areas. Experimental results show that our proposed method produces higher visual quality on the enhanced images than the GHE method does.
机译:全局直方图均衡化(GHE)是用于通过利用输入图像的直方图信息来创建其变换函数来增强图像对比度的常用技术。但是,它通常无法适应本地图像的亮度功能。相比之下,局部直方图均衡(LHE)适合处理局部特征。但是它会遭受光晕或阻塞伪像的影响,并且需要很高的计算能力。本文提出了一种有效的混合方法,用于图像对比度增强,将局部信息和全局信息结合在一起。因此,它提供了区域增强的效果,而不会在局部区域产生视觉伪影或光晕。实验结果表明,与GHE方法相比,我们提出的方法在增强图像上产生了更高的视觉质量。

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