— Global Histogram Equalization (GHE) is a wellknown image enhancement method. Despite of its simplicity and popularity, GHE still has limitations. GHE usually causes the shifting of the mean luminance of the image, produces artifacts and unnatural enhancements, and does not consider local information in its process. Therefore, these limitations lead to the development of several histogram equalization (HE) methods. This paper surveys some of HE based methods. These methods generally fall into three main families of HE, namely Mean Brightness Preserving HE (MBPHE), Bin Modified HE (BMHE), and Local HE (LHE).
— Image enhancement, contrast enhancement, histogram equalization.
The authors are with the School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia (e-mail: firstname.lastname@example.org; email@example.com; firstname.lastname@example.org).
Cite: Nicholas Sia Pik Kong, Haidi Ibrahim, and Seng Chun Hoo, " A Literature Review on Histogram Equalization and Its Variations for Digital Image Enhancement," International Journal of Innovation, Management and Technology vol. 4, no. 4, pp. 386-389, 2013.