面向空间目标观测的高动态范围图像合成
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摘要
针对星空背景下的空间目标图像特点,提出了一种基于相机阵列的高动态范围图像合成方法。利用相机阵列系统获取空间同一区域的不同曝光图像,并以恒星质心为控制点,实现了不同相机间图像的配准;结合标定的各相机的逆响应函数,合理构建了权重函数,进而将配准后的不同曝光图像合成为一幅高动态范围图像。实验结果表明,合成后图像的动态范围有所增大,且该方法有效地提高了图像信噪比,克服了目标成像过暗和过饱和的问题,利于目标的检测与提取。
A high dynamic range image synthesis method based on camera array is proposed as for the characteristics of space target images in the sky background.The camera array system is used to obtain different exposure images in the same spatial area and the star centroid is used as the control point.Thus the registration of images among different cameras is realized.Combined with the inverse response function of each camera,the weight function is reasonably constructed,and the different exposure images after registration are thus combined into a high dynamic range image.The experimental results indicate that the dynamic range of the synthesized image is increased.The proposed method can be used to effectively improve the signal-to-noise ratio of images,which overcomes the problem of over-damping and over-saturation of target images and is conducive to the detection and extraction of targets.
A high dynamic range image synthesis method based on camera array is proposed as for the characteristics of space target images in the sky background.The camera array system is used to obtain different exposure images in the same spatial area and the star centroid is used as the control point.Thus the registration of images among different cameras is realized.Combined with the inverse response function of each camera,the weight function is reasonably constructed,and the different exposure images after registration are thus combined into a high dynamic range image.The experimental results indicate that the dynamic range of the synthesized image is increased.The proposed method can be used to effectively improve the signal-to-noise ratio of images,which overcomes the problem of over-damping and over-saturation of target images and is conducive to the detection and extraction of targets.
引文
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[16]Sun W,Han C S,Xue X C,et al.An HDR imaging method with DTDI technology for push-broom cameras[J].Photonic Sensors,2018,8(1):34-42.
[17]Du L,Sun H Y,Gao Y X,et al.Edge-preserving tone-mapping algorithm based on weighted least square framework[J].Laser&Infrared,2016,46(12):1541-1546.都琳,孙华燕,高宇轩,等.基于权重最小二乘结构边缘保持色调映射算法[J].激光与红外,2016,46(12):1541-1546.
[18]Mertens T,Kautz J,Reeth F V.Exposure fusion[C]∥IEEE Conference on Computer Graphics&Applications,Maui,Hawaii.New York:IEEE,2007:382-390.
[2]Wilhem R,Laurent K.Improvements on Fresnel arrays for high contrast imaging[J].Experimental Astronomy,2018,45(1):21-40.
[3]Jefferies S M,Hope D A,Giebink C A.Next generation image restoration for space situational awareness[R].Fort Belvoir:Defense Technical Information Center,2009.
[4]LüW Z,Liu W Q,Wei Z L,et al.Design of high dynamic range imaging optical system based on DMD[J].Infrared and Laser Engineering,2014,43(4):1167-1171.吕伟振,刘伟奇,魏忠伦,等.基于DMD的高动态范围成像光学系统设计[J].红外与激光工程,2014,43(4):1167-1171.
[5]Debevec P E,Malik J.Recovering high dynamic range radiance maps from photographs[C]∥Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques,New York,NY,USA.New York:ACM Press,1997:369-378.
[6]Piao Y.Fast exposure time decision in multi-exposure HDR imaging[J].Proceedings of SPIE,2012,8419:84191F.
[7]Martínez M A,Valero E M,Hernández-Andrés J.Adaptive exposure estimation for high dynamic range imaging applied to natural scenes and daylight skies[J].Applied Optics,2015,54(4):B241-B250.
[8]LüJ M,Niu Y X,Liu H X,et al.Research on dispersion and striation characteristic of satellite photoelectric imaging system for space point target imaging[J].Laser&Optoelectronics Progress,2014,51(9):091101.吕建明,牛燕雄,刘海霞,等.星载光电成像系统对空间点目标成像的弥散与拖尾特性研究[J].激光与光电子学进展,2014,51(9):091101.
[9]Vítek S,Páta P.Realization of high dynamic range imaging in the GLORIA network and its effect on astronomical measurement[J].Advances in Astronomy,2016,2016:1-12.
[10]Du L,Sun H Y,Zhang T H,et al.Camera response function calibration algorithm based on single frame image[J].Acta Optica Sinica,2016,36(7):0711003.都琳,孙华燕,张廷华,等.基于单帧图像的相机响应函数标定算法[J].光学学报,2016,36(7):0711003.
[11]Chen X N,Zhang S F,Lei Z C.High dynamic range image generation method by fusing multi-level Gamma-transformed images[J].Laser&Optoelectronics Progress,2018,55(4):041014.陈小楠,张淑芳,雷志春.一种基于多层伽马变换融合的高动态范围图像生成方法[J].激光与光电子学进展,2018,55(4):041014.
[12]Zhou H Y,Zhu X Y,Yu F H.Improved efficient triangle similarity algorithm for deep-sky image registration[J].Acta Optica Sinica,2017,37(4):0410003.周海洋,朱鑫炎,余飞鸿.改进型高效三角形相似法及其在深空图像配准中的应用[J].光学学报,2017,37(4):0410003.
[13]Wang S.Research on key technologies of multichannel image acquisition and processing based on camera array for space targets[D].Beijing:Institute of Equipment,2015:12-13.王帅.基于相机阵列的空间目标多通道图像获取与处理关键技术研究[D].北京:装备学院,2015:12-13.
[14]Chen W Z,Zhang C H,Zhou X D.Study of star-sky image background characteristics based on localhistogram Gaussian fitting method[J].Infrared Technology,2008,30(4):230-233.陈维真,张春华,周晓东.基于局部直方图高斯拟合的星图背景性质研究[J].红外技术,2008,30(4):230-233.
[15]Wang Z L,Zhao Q J.Technology of high dynamic range image reconstruction[J].Optical Technique,2006,32(s1):279-285.王忠立,赵清洁.高动态图像获取技术[J].光学技术,2006,32(s1):279-285.
[16]Sun W,Han C S,Xue X C,et al.An HDR imaging method with DTDI technology for push-broom cameras[J].Photonic Sensors,2018,8(1):34-42.
[17]Du L,Sun H Y,Gao Y X,et al.Edge-preserving tone-mapping algorithm based on weighted least square framework[J].Laser&Infrared,2016,46(12):1541-1546.都琳,孙华燕,高宇轩,等.基于权重最小二乘结构边缘保持色调映射算法[J].激光与红外,2016,46(12):1541-1546.
[18]Mertens T,Kautz J,Reeth F V.Exposure fusion[C]∥IEEE Conference on Computer Graphics&Applications,Maui,Hawaii.New York:IEEE,2007:382-390.