Aiming at the problem that the parameters of incomplete Beta function need to be manually adjusted in the process of image enhancement and the algorithm efficiency is low,an adaptive image enhancement method (LKSSA-Beta) based on improved Sparrow Search algorithm(LKSSA) is proposed.Firstly,the initial population of sparrow search algorithm(SSA) is optimized by Logtistic chaotic mapping,maintaining population diversity.Next,the optimization ability of SSA is improved by using the flight behavior idea of bird swarm algorithm and Cauchy Gaussian disturbance.Then,LKSSA is used to optimize the parameters of the Beta function and construct the gray-scale transformation curve to achieve the image enhancement effect.Finally,the experiment results of LKSSA-Beta are compared with the image enhancement method based on PSO,the image enhancement method based on artificial bee colony,and the image enhancement method based on traditional Beta function.The results show that LKSSA will have better global search capabilities for grayscale images.LKSSA-Beta can preserve more detailed information of the image and make the overall contrast of the image more obvious.
Key words
adaptive enhancement /
sparrow algorithm /
incomplete Beta function /
Logistic-map /
Cauchy and Gaussian disturbance
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