摘要
为了对雾霾天气下的图像进行去雾处理,多幅图像去雾算法是常用的方法之一。多幅图像去雾算法也有多种形式,部分算法面临硬件实现困难、获取途径受限或者可实施性弱等问题,而且多幅图像比对处理时常常涉及图像配准,造成算法的实时性差、计算复杂度高等问题。针对以上问题,提出的算法为多幅图像去雾提供了新的思路,基于双目传感器硬件架构能够同时捕获近红外和可见光图像,将近红外传感器图像作为新的数据源,近红外传感器能够在一定程度上穿透雾霾,在雾天捕获可见光传感器无法捕获的图像细节,而且硬件实现简单。可见光图像的颜色信息较丰富,近红外传感器图像对近处场景细节的描述能力较好,捕获的图像稍加校正就能实现完全配准,将近红外图像与可见光图像进行融合,在去雾的同时,可以将近红外传感器图像中的原始细节提取融合到彩色可见光传感器图像中,得到边缘、轮廓等细节信息更加丰富的去雾图像。基于上述思路,借助近红外传感器对边缘细节的描述能力和可见光传感器对颜色信息的反映能力,提出了一种基于近红外与可见光双通道传感器图像融合的去雾算法。首先,将彩色可见光图像转换到HIS彩色空间,分别得到亮度通道图像、色调通道图像和饱和度通道图像。先将其亮度通道图与近红外图像进行融合去雾处理。采用非下采样Shearlet变换(NSST)进行分解,对得到的高频系数进行双指数边缘平滑滤波器保边滤波处理,对低频系数进行反锐化掩蔽处理,通过融合规则和反向变换得到新的亮度通道图像。然后,在对可见光图像的色彩处理中,建立饱和度图的退化模型,采用暗原色原理对参数进行估计,得到估计的饱和度图。最后,将新的亮度通道图像,估计的饱和度图像和原色调图像反映射到RGB空间得到去雾图像。为了验证新算法的�
In order to defog the image under hazy weather,multiple images defogging algorithm is one of the commonly used methods.Multiple images defogging algorithm also takes many forms,some of which are usually confronted with the problems of difficult hardware implementation,limited data source achievement approaches,or poor implementation et al.Meanwhile,multiple images defogging algorithm usually needs image registration in the comparison process,causing poor real-time performance and high computation cost.For the above problems,this study supplies a new idea for multiple images defogging algorithm,the near-infrared sensor images are used as new data source.The near-infrared sensor could penetrate haze to some extent,capturing the image details that the visible light sensor could not get.Meanwhile,the hardware of dual sensor system is simple.In the dual sensor system,the visible light image has abundant color information and the near-infrared sensor image can better describe the scene details at close range.The captured images could be completely registered with little rectification.The fusion of the infrared image and visible light image could extract the image details of the near-infrared image to the color visible light image to get the defogging image with abundant edge and contour information.Therefore,this study proposed a defogging algorithm using near-infrared and visible light image fusion method based on the edge details descriptive ability of the near-infrared sensor and the expressive ability of color information.Firstly,the color visible image was transformed from RGB space to HIS color space to get the hue channel image,saturation channel image and intensity channel image.The intensity channel image and original near-infrared image were decomposed by the Non-subsampled Shearlet Transform (NSST) method to get the high frequency coefficients and the low frequency coefficients.The high frequency component was treated by the double-exponential edge smoothing filter and the low frequency component was treated
作者
沈瑜
党建武
苟吉祥
郭瑞
刘成
王小鹏
李磊
SHEN Yu;DANG Jian-wu;GOU Ji-xiang;GUO Rui;LIU Cheng;WANG Xiao-peng;LI Lei(School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing,Lanzhou 730070,China;Key Laboratory of Opto-technology and Intelligent Control,Ministry of Education,Lanzhou Jiaotong University,Lanzhou 730070,China;Troop 68003,PLA,Wuwei 733000,China)
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2019年第5期1420-1427,共8页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(61861025
61562057
61663021
61761027
51669010)
长江学者和创新团队发展计划(IRT_16R36)
甘肃省教育厅科技计划项目(2017D-08)
甘肃省自然科学基金项目(17JR5RA101)
甘肃省创新创业教育改革项目(2017-44)
光电技术与智能控制教育部重点实验室(兰州交通大学)开放课题(KFKT2018-9)
兰州市人才创新创业项目(2018-RC-117)资助
关键词
双通道
传感器
近红外
去雾
融合
Dual channel
Sensor
Near-infrared
Dehaze
Fusion
