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 |
Show full item record
SCOPUSTM
Citations
12
checked on Nov 19, 2024
Page view(s)
18
checked on Nov 19, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.