Title :
Dynamic recursive subimage histogram equalization algorithm for image contrast enhancement
Author :
Milos Jordanski;Aleksandra Arsic;Milan Tuba
Author_Institution :
Faculty of Mathematics, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia
Abstract :
Contrast enhancement plays a fundamental role in image processing. Histogram equalization is a well-known and effective technique for enhancing the contrast of the input image, however it fails to preserve the brightness of the image. In order to preserve natural appearance and brightness of enhanced images, we propose a new dynamic recursive sub-image histogram equalization method for contrast enhancement. Experimental results show that, for the variety of test images, the proposed method enhances contrast effectively, while preserving brightness and natural appearance.
Keywords :
"Histograms","Brightness","Image segmentation","Dynamic range","Heuristic algorithms","Probability density function"
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2015 23rd
DOI :
10.1109/TELFOR.2015.7377591