Adaptive bacterial foraging optimization for grey image enhancement
Huan Wang · Journal of Hebei University of Engineering · 2013
To improve the adaptive performance of image enhancement,firstly,a kind of adaptive chemotaxis factor of bacteria is employed to the bacterial foraging optimization.Then the improved adaptive bacterial foraging algorithm(ABFA) is combined with the incomplete Beta function to obtain the optimum grey translation parameters.Finally,the degraded image is enhanced adaptively to the utmost extent.The simulation results show that the improved optimization algorithm is more efficient to refine parameters of the Beta function than its counterpart,which enhances the global contrast of the image and visual effect.