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A New Approach to the Implementation of Histogram Equalization in Image Processing

机译:一种在图像处理中实现直方图均衡化的新方法

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Histogram equalization is one of the most well-known techniques of image processing in the spatial domain and is widely applied to enhance images in various applications owing to its high efficiency and simplicity. However, the traditional definition of histogram equalization procedure does not satisfy a number of basic requirements to image intensity transformations. This paper proposes a new approach to defining a histogram equalization procedure based on the analysis of the basic requirements to the image intensity transformation function. Based on this approach, we propose a new implementation for the histogram equalization procedure that satisfies the basic requirements to image intensity transformations and meets the criterion of self-duality.
机译:直方图均衡化是空间域中最著名的图像处理技术之一,由于其高效和简单性而被广泛用于增强各种应用中的图像。但是,直方图均衡过程的传统定义不能满足图像强度转换的许多基本要求。本文在分析图像强度变换函数的基本要求的基础上,提出了一种定义直方图均衡过程的新方法。基于这种方法,我们提出了一种直方图均衡程序的新实现,该程序可以满足图像强度变换的基本要求并满足自对偶性标准。

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