一种基于边缘保持的图像增强算法
|
摘要
针对战场环境下因电磁干扰而导致武器图像采集系统效能下降的问题,提出一种基于边缘保持的图像增强算法。首先,采用基于边缘保持的图像平滑算法处理图像,再采用多尺度Retinex算法增强图像。实验结果证明,该方法克服了传统增强算法对噪声干扰不敏感的问题,增强后的图像质量满足战场环境下传输图像的要求。
In order to solve the problem that the electromagnetic interference leads to the descend of weapon image acquisitionsystem in the environment of battlefield,An image's edge preserving orientation enhancing algorithm is proposed. Firstly,it uses theimage's edge preserving orientation smoothing algorithm. Next,the multi-scale Retinex is used. The experimental results show thatthis algorithm overcomes the shortcoming that traditional algorithms showed,edge blur. Meanwhile it satisfies the demands of imagetransmission in battlefield environment.
In order to solve the problem that the electromagnetic interference leads to the descend of weapon image acquisitionsystem in the environment of battlefield,An image's edge preserving orientation enhancing algorithm is proposed. Firstly,it uses theimage's edge preserving orientation smoothing algorithm. Next,the multi-scale Retinex is used. The experimental results show thatthis algorithm overcomes the shortcoming that traditional algorithms showed,edge blur. Meanwhile it satisfies the demands of imagetransmission in battlefield environment.
引文
[1]闫宏.受电磁干扰的人脸图像检测与识别方法研究[D].哈尔滨工程大学,2007:10-13.
[2]王浩,张叶,沈宏海.图像增强算法综述[J].中国光学,2017,10(04):438-448.
[3]云海姣,吴志勇,王冠军.结合直方图均衡和模糊集理论的红外图像增强[J].计算机辅助设计与图形学学报,2015,27(08):1498-1505.
[4]郭四稳,陈伟津.基于多层次模糊增强的图像边缘检测[J].广州大学学报(自然科学版),2011,10(04):64-67.
[5]魏新,马丽华,李云霞.基于图像分割和平台直方图均衡的红外图像增强算法[J].红外技术,2012,34(05):272-275.
[6]李婧.一种基于概率的快速聚类算法[J].重庆工商大学学报(自然科学版),2014,31(02):61-65.
[7]Zheng Dou,Peng-Yu Shi,Yun Lin.A Kind of Edge Detec-tion Algorithm with Edge-Preserving Characteristics[J].Journal of Harbin Institute of Technology,2013,20(02):86-89.
[8]刘兴洪,汪林林.一种图像边缘保持的改进方向平滑算法[J].计算机科学,2006(10):210-212.
[9]赵旦峰,王博,杨大伟.一种边缘定向平滑图像插值算法[J].电子与信息学报,2012,34(07):1543-1546.
[10]邸男,田睿,付东辉.结合直方图紧凑均衡的图像增强算法[J].计算机技术与发展,2013,23(12):34-36.
[11]何春,宋国琴.基于MSRCR理论的算法实现[J].智能计算机与应用,2017,7(03):114-116.
[12]沙俊名,刘泽乾,刘凡.基于Retinex理论的Mccann99算法改进[J].激光与红外,2011,41(09):1054-1058.
[13]张雪峰,赵莉.基于改进Retinex的图像增强算法[J].南京理工大学学报,2016,40(01):24-28.
[2]王浩,张叶,沈宏海.图像增强算法综述[J].中国光学,2017,10(04):438-448.
[3]云海姣,吴志勇,王冠军.结合直方图均衡和模糊集理论的红外图像增强[J].计算机辅助设计与图形学学报,2015,27(08):1498-1505.
[4]郭四稳,陈伟津.基于多层次模糊增强的图像边缘检测[J].广州大学学报(自然科学版),2011,10(04):64-67.
[5]魏新,马丽华,李云霞.基于图像分割和平台直方图均衡的红外图像增强算法[J].红外技术,2012,34(05):272-275.
[6]李婧.一种基于概率的快速聚类算法[J].重庆工商大学学报(自然科学版),2014,31(02):61-65.
[7]Zheng Dou,Peng-Yu Shi,Yun Lin.A Kind of Edge Detec-tion Algorithm with Edge-Preserving Characteristics[J].Journal of Harbin Institute of Technology,2013,20(02):86-89.
[8]刘兴洪,汪林林.一种图像边缘保持的改进方向平滑算法[J].计算机科学,2006(10):210-212.
[9]赵旦峰,王博,杨大伟.一种边缘定向平滑图像插值算法[J].电子与信息学报,2012,34(07):1543-1546.
[10]邸男,田睿,付东辉.结合直方图紧凑均衡的图像增强算法[J].计算机技术与发展,2013,23(12):34-36.
[11]何春,宋国琴.基于MSRCR理论的算法实现[J].智能计算机与应用,2017,7(03):114-116.
[12]沙俊名,刘泽乾,刘凡.基于Retinex理论的Mccann99算法改进[J].激光与红外,2011,41(09):1054-1058.
[13]张雪峰,赵莉.基于改进Retinex的图像增强算法[J].南京理工大学学报,2016,40(01):24-28.