基于改进混合蛙跳算法的图像增强处理研究

摘要

针对图像增强的特点,提出改进混合蛙跳算法.首先对混合蛙跳的更新采用自适应的阈值选择策略,并对每只蛙的目标函数值赋予一定的概率分布,增加了得到更优蛙的机会；接着在混沌系统下,随机产生混沌序列,将混沌变量映射到优化变量的取值范围中,混合蛙跳可以遍历整个区间,这样得到群体最优位置；最后采用Beta函数实现图像增强.实验结果表明,此算法对图像增强效果明显,清晰度较高.%Be Aimed at image enhancement characteristics, an improved hybrid frog - jumping algorithm is proposed. Firstly, adaptive threshold selection strategy is used in updating hybrid frog -jumping, and a probability distribution is given to the value of the objective function of each frog in order to increase the chance of gaining better frog. Secondly, the chaotic sequence is randomly produced in the chaotic system, and the chaotic variables are mapped to the scope of optimization variables. Hybrid frog-jumping can traverse the entire interval to get the group optimal position. Finally, the Beta function is used to implement the image enhancement. Simulation results show that this algorithm is effective in image enhancement and can get higher definition images.