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Segmentation based extended piecewise maximum entropy histogram for image enhancement

机译:基于分割的扩展分段最大熵直方图用于图像增强

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Histogram Equalization is an important tool to process the digital images for the purpose of image enhancement and normalization. But in some cases, it may cause bad results. Recently, a Piecewise Maximum Entropy Histogram technique was proposed, yet still with some limitations since it possesses less dynamic range problem. In this paper we present an Extended PME technique which reflects better result than the conventional one and yields more dynamic range so that better contrast enhancement of an image is achieved. Experimental results and comparison between a number of techniques on the basis of Absolute mean brightness error (AMBE), PSNR, Entropy and Standard Deviation values is presented.
机译:直方图均衡化是处理数字图像以进行图像增强和归一化的重要工具。但是在某些情况下,可能会导致不良结果。最近,提出了一种分段最大熵直方图技术,但是由于它具有较少的动态范围问题而仍然受到一些限制。在本文中,我们提出了一种扩展的PME技术,该技术反映了比常规技术更好的结果,并产生了更大的动态范围,从而实现了更好的图像对比度增强。给出了基于绝对平均亮度误差(AMBE),PSNR,熵和标准偏差值的多种技术的实验结果和比较。

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