Comparison of Hybrid and Classical Metaheuristic for Automatic Image Enhancement
نویسندگان
چکیده
Hybrid metaheuristic, an advancement over classical metaheuristic, provides a more effective search methodology. It combines several metaheuristic algorithms into one optimization mechanism. In this paper image enhancement is considered as an optimization problem. Hybrid metaheuristic techniques are used to find the optimum value for a set of parameters of a transformation function, with an aim towards maximizing a fitness function. Three hybrid metaheuristic approaches are employed to find the optimum solution. Results of all three algorithms are compared amongst themselves. Comparison is also shown with classical metaheuristic algorithms and traditional enhancement approach of histogram equalization.
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