TY - GEN
T1 - Adaptive de based on chaotic sequences and random adjustment for image Contrast Enhancement
AU - Rere, L. M.Rasdi
AU - Fanany, Mohamad Ivan
AU - Arymurthy, Aniati Murni
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/9
Y1 - 2015/1/9
N2 - Differential Evolution (DE) is one of the powerful optimization methods. Performance of this algorithm is significantly relying on its parameter setting. These parameters are usually constant during the entire search process. However to set them accurately is not easy and totally depends on the problem characteristic. To address this challenge, a number of methods have been proposed to automatically fine-tune the parameters, according to feature of the problem. In this paper we evaluated two variations of adaptive DE for application of optimal image Contrast Enhancement. The first method was DE using chaotic sequences and the second was DE based on random adjustment of the parameters. The objective of both variations in this application is to increase the fitness criterion with the aim of enhance the contrast and details of the image. The results are compared with classical DE by four testing images, i.e. Cameraman, Lena, Boat, and Rice. The simulation results show that, applications of these variations adaptive DE in image contrast enhancement are potential approach to increase the performance of classical DE.
AB - Differential Evolution (DE) is one of the powerful optimization methods. Performance of this algorithm is significantly relying on its parameter setting. These parameters are usually constant during the entire search process. However to set them accurately is not easy and totally depends on the problem characteristic. To address this challenge, a number of methods have been proposed to automatically fine-tune the parameters, according to feature of the problem. In this paper we evaluated two variations of adaptive DE for application of optimal image Contrast Enhancement. The first method was DE using chaotic sequences and the second was DE based on random adjustment of the parameters. The objective of both variations in this application is to increase the fitness criterion with the aim of enhance the contrast and details of the image. The results are compared with classical DE by four testing images, i.e. Cameraman, Lena, Boat, and Rice. The simulation results show that, applications of these variations adaptive DE in image contrast enhancement are potential approach to increase the performance of classical DE.
KW - Adaptive Differential Evolution
KW - Chaotic sequences
KW - Image contrast enhancement
UR - http://www.scopus.com/inward/record.url?scp=84961358660&partnerID=8YFLogxK
U2 - 10.1109/ICAICTA.2014.7005944
DO - 10.1109/ICAICTA.2014.7005944
M3 - Conference contribution
AN - SCOPUS:84961358660
T3 - Proceedings - 2014 International Conference on Advanced Informatics: Concept, Theory and Application, ICAICTA 2014
SP - 220
EP - 225
BT - Proceedings - 2014 International Conference on Advanced Informatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Advanced Informatics: Concept, Theory and Application, ICAICTA 2014
Y2 - 20 August 2014 through 21 August 2014
ER -