Blind Image Separation Method Based on Artificial Bee Colony Algorithm

Abstract:

A novel blind image separation algorithm based on artificial bee colony algorithm was proposed. Negative entropy was chosen as the objective function for separation and the separation matrix was transformed using Givens rotation transform method and the number of variable need to be found reduced. Artificial bee colony algorithm was used for solving the objective function and the images could be separated successfully. Simulation results verify the validity of the method.

• Periodical: Advanced Materials Research (Volumes 468-471)
• Pages: 583-586
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.468-471.583
• Online since: February 2012
• Authors: Lei Chen, Li Yi Zhang, Yan Ju Guo
• Keywords: Artificial Bee Colony, Blind Image Separation, Givens Transform, Negative Entropy

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