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Blind Image Separation Method Based on Artificial Bee Colony Algorithm

机译:基于人工蜂菌落算法的盲图像分离方法

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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.
机译:提出了一种基于人造蜂菌落算法的新型盲图像分离算法。选择负熵作为分离的目标函数,使用Givens旋转变换方法转化分离基质,并且需要发现变量的数量降低。人造蜂菌落算法用于解决目标函数,图像可以成功分离。仿真结果验证了该方法的有效性。

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