基于狮群优化算法的自适应图像去噪技术  

ADAPTIVE IMAGE DENOISING TECHNOLOGY BASED ON LION OPTIMIZATION ALGORITHM

作　　者：朱丙丽[1] 程波[1] 高晓琴[2] Zhu Bingli;Cheng Bo;Gao Xiaoqin(College of Computer Science and Engineering,Chongqing Three Gorges University,Chongqing 404100,China;Department of Information Engineering,Sichuan Technology&Business College,Dujiangyan 611830,Sichuan,China)

机构地区：[1]重庆三峡学院计算机科学与工程学院,重庆404100 [2]四川工商职业技术学院信息工程系,四川都江堰611830

出　　处：《计算机应用与软件》2021年第5期225-230,共6页Computer Applications and Software

基　　金：国家自然科学基金项目(61602072);重庆市教改项目(203443);重庆市基础研究与前沿探索项目(cstc2018jcyjAX0502);重庆市教委科技项目(KJQN202001222);重庆市教委高等学校重点实验室项目([2017]3);重庆市发改委工程研究中心项目(2017[1007])。

摘　　要：针对现有技术不能同时处理多种噪声的问题,提出一种基于狮群优化算法的自适应图像去噪技术。利用不同空间滤波器组合,在保留图像更多边缘纹理细节的同时,消除图像中的高斯、斑点和椒盐等多类噪声。为了提高线性滤波器组合的效率,采用狮群优化算法在无人为干预的情况下寻找最佳滤波器组合,使得算法在最少的时间消耗内实现最优的图像噪声消除效果。实验结果表明,该算法在多个指标方面的性能表现明显优于其他算法。Aiming at the problem that existing technologies can not deal with multiple noises of images at the same time,an adaptive image denoising technique based on lion optimization algorithm is proposed.It used different combinations of spatial filters to eliminate Gauss,speckles and salt and pepper noise while retaining more edge texture details.In order to improve the efficiency of the linear filter combination,the lion optimization algorithm was used to find the optimal filter combination without human intervention,so that the algorithm achieved the optimal image noise elimination effect in the least time consumption.The experimental results show that the performance of the proposed algorithm is superior to other denoising algorithms in terms of multiple indicators.

关 键 词：图像去噪 空间滤波器 狮群优化算法 自适应 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]