A Histogram Specification Algorithm Based on Gaussian PDF
Zhenbang Wang · Journal of the China Railway Society · 2006
This paper proposes an algorithm of histogram specification based on the Gaussian probability density function(Gaussian PDF).The proposed algorithm calculates the values of the average gray level and contrast of the input image,and uses these two parameters to estimate the average gray level and contrast of the output image,and then specifies the histogram of the output image with the Gaussian probability density function,the expectation and variance of which are respectively the average gray level and contrast.The performance of the algorithm is evaluated and experimental results show the superiority of the proposed algorithm compared with some existing algorithms of histogram equalization.It also has many advantages over other image enhancement methods inrespect of low computational complexity,high efficiency,no manual intervention and easy control of the contrast of the output image by alternating only one parameter,and it can be used in real time operations and systems with limited computational resources.