Authors: Jordanski, Miloš
Arsić, Aleksandra 
Tuba, Milan
Title: Dynamic recursive subimage histogram equalization algorithm for image contrast enhancement
Journal: 2015 23rd Telecommunications Forum, TELFOR 2015
First page: 819
Last page: 822
Conference: 23rd Telecommunications Forum, TELFOR 2015; Sava Center Belgrade; Serbia; 24 November 2015 through 26 November 2015
Issue Date: 8-Jan-2016
ISBN: 978-1-509-00054-8
DOI: 10.1109/TELFOR.2015.7377591
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: Contrast enhancement | Dynamic histogram equalization | Histogram equalization | Multiple segmentation
Publisher: IEEE

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