Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4689
Title: An efficient technique for image contrast enhancement using artificial bee colony
Authors: Joshi, Piyush
Prakash, Surya
Keywords: Image segmentation;Network security;Optimization;Artificial bee colonies;Artificial bee colonies (ABC);Computational time;Contrast Enhancement;Degraded images;Image contrast enhancement;Objective functions;Quality estimation;Image enhancement
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Joshi, P., & Prakash, S. (2015). An efficient technique for image contrast enhancement using artificial bee colony. Paper presented at the 2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015, doi:10.1109/ISBA.2015.7126363
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. © 2015 IEEE.
URI: https://doi.org/10.1109/ISBA.2015.7126363
https://dspace.iiti.ac.in/handle/123456789/4689
ISBN: 9781479919741
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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