A New Approach to the Implementation of Histogram Equalization in Image Processing
Sergei Yelmanov, Olena Hranovska, Yuriy M. Romanyshyn · 2019
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.