基于自适应蛙跳算法的图像增强研究  

Image Adaptive Enhancement Research Based on Modified Shuffled Frog Leap Algorithm

作　　者：徐洪章[1] 刘康明[1] 季钢[2] 

机构地区：[1]黄淮学院信息工程学院,河南驻马店463000 [2]河南省电力公司驻马店供电公司,河南驻马店463000

出　　处：《电视技术》2014年第11期45-48,共4页Video Engineering

摘　　要：针对图像增强的特点,提出自适应蛙跳算法。首先通过自适应调整惯性权重策略确定个体选择的概率,适应度值越小,被选择的概率越大;接着将青蛙位置差值来动态扰动群体,在较优族群内进行精细搜索,在较差族群内进行广泛搜索来加快找到全局最优解;最后采用非完全Beta函数来确定图像增强过程。实验仿真结果得出:该算法对图像增强具有清晰度高、抑制噪声能力强等特点。According to the characteristics of image adaptive enhancement,improves shuffled frog leaping algorithm. Firstly,probability adaptive inertia weight strategy seleclion, individual fitness value of the probability of small selected more ; then through the frog position difference to dynamic group ,opti- mum population of fine search, extensive search in the poor population to accelerate to find global optimal solution ;finally, to determine the image adaptive enhancement process the incomplete Beta function. The experimental simulation results show that the algorithm in this paper has the advantages of high definition,strong ability of noise reduction for image adaptive enhaneement.

关 键 词：自适应 引力 增强 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.4[电子电信—信息与通信工程]