TY - GEN
T1 - Edge preserving image enhancement via harmony search algorithm
AU - Zaid Abdi Alkareem, Y. A.
AU - Venkat, Ibrahim
AU - Al-Betar, Mohammed Azmi
AU - Khader, Ahamad Tajudin
PY - 2012
Y1 - 2012
N2 - Population based metaheuristic algorithms have been providing efficient solutions to the problems posed by various domains including image processing. In this contribution we address the problem of image enhancement with a specific focus on preserving the edges inherent in images with the aid of a musically inspired harmony search based metaheuristic algorithm. We demonstrate the significance of our proposed intuitive approach which combines efficient techniques from the image processing domain as well as from the optimization domain. Pertaining to the problem under consideration, further we compare our results with the state-of-the-art histogram equalization approach.
AB - Population based metaheuristic algorithms have been providing efficient solutions to the problems posed by various domains including image processing. In this contribution we address the problem of image enhancement with a specific focus on preserving the edges inherent in images with the aid of a musically inspired harmony search based metaheuristic algorithm. We demonstrate the significance of our proposed intuitive approach which combines efficient techniques from the image processing domain as well as from the optimization domain. Pertaining to the problem under consideration, further we compare our results with the state-of-the-art histogram equalization approach.
UR - https://www.scopus.com/pages/publications/84869421053
U2 - 10.1109/DMO.2012.6329797
DO - 10.1109/DMO.2012.6329797
M3 - Conference contribution
AN - SCOPUS:84869421053
SN - 9781467327183
T3 - Conference on Data Mining and Optimization
SP - 47
EP - 52
BT - Proceedings - 2012 4th Conference on Data Mining and Optimization, DMO 2012
T2 - 2012 4th Conference on Data Mining and Optimization, DMO 2012
Y2 - 2 September 2012 through 4 September 2012
ER -