Title :
An efficient technique for image contrast enhancement using artificial bee colony
Author :
Joshi, Piyush ; Prakash, Surya
Author_Institution :
IIT Indore, Indore, India
Abstract :
Contrast enhancement is a significant phase in image processing for improving visual and informational quality of a degraded image. We propose an enhancement technique for poor contrast images which utilizes modified Artificial Bee Colony (ABC) technique. This paper includes following two major contributions. First, Direction Constraints (DC) has been associated with ABC so that artificial bees can move in right direction to obtain better solution and reduce computational time. This is similar to natural bees which use their memory to find out food sources. Second, Contrast based Quality Estimation (CQE) is used as an objective function of ABC. Experimental results show the effectiveness of the proposed technique.
Keywords :
image enhancement; optimisation; ABC technique; CQE; DC; artificial bee colony; contrast based quality estimation; degraded image informational quality; degraded image visual quality; direction constraints; image contrast enhancement; image processing; Estimation; Feature extraction; Histograms; Image quality; Linear programming; Niobium; Visualization;
Conference_Titel :
Identity, Security and Behavior Analysis (ISBA), 2015 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4799-1974-1
DOI :
10.1109/ISBA.2015.7126363