July 2016
Chinese Journal of Liquid Crystal & Displays;Jul2016, Vol. 31 Issue 7, p695
Academic Journal
Histogram equalization and its improved version may cause tinny gray levels coalition and over-enhancement in the output infrared image without any constraints. In order to solve this problem, we propose plateau histogram equalization based on scene complexity computation. Firstly, Harris algorithm is used to detect corner. Then an evaluation function, which is similar to the sigmoid function, is established to calculate the degree of complexity for an image. Finally, a global transformation function is gained using the theory of plateau histogram equalization. Moreover, the global transformation function achieves enhancement with the constraints of image complexity and mean lighting protecting. Experimental results show that the proposed method can enhance infrared images with different scenes effectively and there exist no over-enhancement and noise amplification in the output infrared images. Objective evaluation illustrates that the proposed method can achieve less mean lighting shift and holding the entropy of original image.


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