基于灰度冗余的靶场红外图像实时均衡方法
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摘要
针对靶场红外图像对比度低的问题,分析了传统直方图均衡算法的特点和不足,研究了图像的动态范围和灰度冗余特性,提出了一种新型的靶场红外图像增强算法。分别以图像的视觉效果、熵和峰值信噪比等指标,对该方法与传统方法的图像增强效果进行了比较,通过仿真实验验证,该方法避免了传统方法带来的灰度断层现象,保留了更多的图像细节信息,视觉效果和实时性也更好。采用该方法对靶场红外图像进行处理,不仅增加了图像的对比度,而且不损失有效信息,提高了图像的判读精度,应用效果显著。
Focusing on the low contrast of the infrared image of range,this paper analyzed the characteristics and disadvantages of the traditional histogram equalization algorithm,studied the dynamic range and the gray level redundancy of the image.A new infrared image enhancement algorithm is proposed.The image enhancement effects of this method and the traditional method are compared respectively with the visual effects,entropy and peak signal-to-noise ratio of the images.The simulation results show that,this method avoids the gray-level faults caused by the traditional methods,keeps more image details,and it is better in visual effects and real time.Using this method to process the infrared image of the range,can increase the contrast of the image,and keep the effective information at the same time.It improves the interpretation accuracy of the image obviously.
Focusing on the low contrast of the infrared image of range,this paper analyzed the characteristics and disadvantages of the traditional histogram equalization algorithm,studied the dynamic range and the gray level redundancy of the image.A new infrared image enhancement algorithm is proposed.The image enhancement effects of this method and the traditional method are compared respectively with the visual effects,entropy and peak signal-to-noise ratio of the images.The simulation results show that,this method avoids the gray-level faults caused by the traditional methods,keeps more image details,and it is better in visual effects and real time.Using this method to process the infrared image of the range,can increase the contrast of the image,and keep the effective information at the same time.It improves the interpretation accuracy of the image obviously.
引文
[1]顾建雄,刘振来,张志荣.一种新的基于灰度冗余的红外图像均衡技术[J].河西学院学报,2011,27(5):66-51.
[2]岳元,李丽亚,祁蒙.多目标跟踪在红外制导系统中的应用[J].电子测量技术,2017,40(3):103-107.
[3]苏志远,周晓光,金黎明,等.基于灰度等间距密度均衡的红外图像增强算法[J].吉林大学学报,2010,28(6):592-594.
[4]李艳荻,徐熙平,陈江,等.动态特征块匹配的背景更新在运动检测的应用[J].仪器仪表学报,2017,38(2):445-453.
[5]扈佃海,吕旭良,文刘强.一种改进的直方图均衡化图像增强方法[J].光电技术应用,2012,27(3):65-68.
[6]刘琦,张月婷,胡文龙,等.SAR成像阴影边缘散焦误差分析[J].国外电子测量技术,2016,35(4):28-33.
[7]毛贵超,宋利权,靳民会.基于灰度冗余的红外图像局部对比度增强方法[J].红外与激光工程,2010,39(5):357-360.
[8]齐凤梅.一种低对比度红外图像增强方法[J].无线电工程,2013,43(5):23-25.
[9]辛富国,李荣芳,权东晓.一种红外图像细节增强算法[J].太赫兹科学与电子信息学报,2014,12(3):440-444.
[10]吴登辉,周先春,陈铭.基于四阶非线性偏微分方程的图像去噪算法[J].电子测量与仪器学报,2017,31(6):839-843.
[11]郑林涛,俞卫华,董永生.基于CLAHE的红外图像增强算法[J].计算机工程与设计,2015,36(12):3297-3301.
[12]刘玉婷,陈峥,付占方,等.基于CLAHE的红外图像增强算法[J].激光与红外,2016,46(10):1290-1294.
[13]李阳,张永辉,修大鹏.基于靶场红外图像的弱小目标检测技术研究[J].长春理工大学学报(自然科学版),2012,35(2):106-109.
[14]杜媛.基于图像质量分析与分割算子的图像特征点匹配算法[J].电子测量技术,2017,40(8):144-149.
[2]岳元,李丽亚,祁蒙.多目标跟踪在红外制导系统中的应用[J].电子测量技术,2017,40(3):103-107.
[3]苏志远,周晓光,金黎明,等.基于灰度等间距密度均衡的红外图像增强算法[J].吉林大学学报,2010,28(6):592-594.
[4]李艳荻,徐熙平,陈江,等.动态特征块匹配的背景更新在运动检测的应用[J].仪器仪表学报,2017,38(2):445-453.
[5]扈佃海,吕旭良,文刘强.一种改进的直方图均衡化图像增强方法[J].光电技术应用,2012,27(3):65-68.
[6]刘琦,张月婷,胡文龙,等.SAR成像阴影边缘散焦误差分析[J].国外电子测量技术,2016,35(4):28-33.
[7]毛贵超,宋利权,靳民会.基于灰度冗余的红外图像局部对比度增强方法[J].红外与激光工程,2010,39(5):357-360.
[8]齐凤梅.一种低对比度红外图像增强方法[J].无线电工程,2013,43(5):23-25.
[9]辛富国,李荣芳,权东晓.一种红外图像细节增强算法[J].太赫兹科学与电子信息学报,2014,12(3):440-444.
[10]吴登辉,周先春,陈铭.基于四阶非线性偏微分方程的图像去噪算法[J].电子测量与仪器学报,2017,31(6):839-843.
[11]郑林涛,俞卫华,董永生.基于CLAHE的红外图像增强算法[J].计算机工程与设计,2015,36(12):3297-3301.
[12]刘玉婷,陈峥,付占方,等.基于CLAHE的红外图像增强算法[J].激光与红外,2016,46(10):1290-1294.
[13]李阳,张永辉,修大鹏.基于靶场红外图像的弱小目标检测技术研究[J].长春理工大学学报(自然科学版),2012,35(2):106-109.
[14]杜媛.基于图像质量分析与分割算子的图像特征点匹配算法[J].电子测量技术,2017,40(8):144-149.