针对动态目标的高动态范围图像融合算法研究

都琳; 孙华燕; 王帅; 高宇轩; 齐莹莹

doi:doi:10.3788/aos201737.0410001

光学学报, 2017, 37 (4): 0410001, 网络出版: 2017-04-10

针对动态目标的高动态范围图像融合算法研究下载： 645次

High Dynamic Range Image Fusion Algorithm for Moving Targets

论文大纲

都琳 ^1,*孙华燕 ²王帅 ¹高宇轩 ¹齐莹莹 ³

作者单位

¹ 装备学院研究生院，北京 101416

² 装备学院光电装备系，北京 101416

³ 西安卫星测控中心，陕西西安 710000

图像处理动态目标色彩梯度微分光流法高动态范围图像融合权重函数 image processing moving target color-gradient-based differential optical flow met high dynamic range image fusion weighting function

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摘要

高动态范围成像技术能够全面有效地反映拍摄场景信息，有利于在复杂环境下获得更高的成像质量。目前基于多曝光图像序列的高动态范围图像融合算法需要高精度配准的输入图像序列，无法克服动态问题带来的影响，无法针对存在动态目标的多曝光图像序列进行高动态范围图像融合。基于此，提出了一种高动态范围图像融合算法。该算法利用基于色彩梯度的微分光流法获得由相机抖动以及场景目标运动导致的多曝光图像之间的动态目标偏移量；结合标定的逆相机响应函数构建高动态范围图像融合权重函数，对存在动态问题影响的多曝光图像进行高动态范围图像融合。实验结果表明，提出的算法无需提前对输入图像序列进行精确配准，能够有效克服动态问题影响，实现动态目标的高动态范围图像融合。

Abstract

High dynamic range imaging technique can reflect the shooting scenario comprehensively and effectively, resulting in high quality imaging in the complex environment. However, the classic high dynamic range image fusion algorithm based on high-precision registration of multiple exposure images cannot deal with the impact of dynamic problems. It fails to realize high dynamic range image fusion when there is a moving target in the exposure images. Therefore, a new high dynamic range fusion algorithm to deal with the dynamic targets is proposed. The derivative optical flow based on color gradient is first utilized to acquire the dynamic target offset of different exposure images, which is caused by the camera shark or the movement of the scenario target. The high dynamic range image fusion weighting function is established by combination of target offset and inverse camera response function, and is applied to the fusion algorithm to tackling the problem of dynamic targets in the high dynamic range images without precise mapping. The experimental results show that without image registration, the proposed algorithm is effective in the fusion of the high dynamic range images with moving targets.

参考文献

[1] Reinhard E, Ward G, Pattanaik S, et al. High dynamic range imaging: acquisition, display and image-based lighting［M］. 2nd ed. San Francisco: Morgan Kaufmann Publisher, 2010: 171-183.

[2] 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, 1997: 369-378.

[3] Mitsunaga T, Nayar S K. Radiometric self calibaration［C］. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1993: 374-380.

[4] Grossberg M D, Nayar S K. What can be known about the radiometric response from images［C］. 7th European Conference on Computer Vision, 2002: 189-205.

[5] Grossberg M D, Nayar S K. Modeling the space of camera response functions［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(10): 1272-1282.

[6] Nayar S K, Mitsunaga T. High dynamic range imaging: spatially varying pixel exposures［C］. Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2000: 472-479.

[7] Celebi A T, Duvar R, Urhan O. Fuzzy fusion based high dynamic range imaging using adaptive histogram separation［J］. IEEE Transactions on Consumer Electronics, 2015, 61(1): 119-127.

[8] 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研究［J］. 光学学报, 2016, 36(7): 0711003.

Du Lin, Sun Huayan, Zhang Tinghua, et al. Camera response function calibration algorithm based on single frame image［J］. Acta Optica Sinica, 2016, 36(7): 0711003.

[9] 丁伟利, 马鹏程, 陆鸣, 等. 基于先验似然的高分辨光场图像深度重建算法研究［J］. 光学学报, 2015, 35(7): 0715002.

Ding Weili, Ma Pengcheng, Lu Ming, et al. High resolution light field depth reconstruction algorithm based on priori likelihood［J］. Acta Optica Sinica, 2015, 35(7): 0715002.

[10] 方华猛, 易本顺, 甘良才, 等. 高动态范围图像合成中相机响应函数的快速标定［J］. 光子学报, 2013, 42(6): 737-741.

Fang Huameng, Yi Benshun, Gan Liangcai, et al. A fast calibration method of camera response function for high dynamic range image［J］. Acta Photonica Sinica, 2013, 42(6): 737-741.

[11] Hasinoff S W, Sharlet D, Geiss R, et al. Burst photography for high dynamic range and low-light imaging on mobile cameras［J］. ACM Transactions on Graphics, 2016, 35(6): 192.

[12] Lin S, Gu J, Yamazaki S. Radiometric calibration from a single image［C］. Proceedings of the IEEE Society Conference on Computer Visual and Pattern Recognition, 2004, 2: 938-945.

[13] Tai Y W, Chen X, Kim S J, et al. Nonlinear camera response functions and image deblurring: theoretical analysis and practice［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(10): 2498-2511.

都琳, 孙华燕, 王帅, 高宇轩, 齐莹莹. 针对动态目标的高动态范围图像融合算法研究[J]. 光学学报, 2017, 37(4): 0410001. Du Lin, Sun Huayan, Wang Shuai, Gao Yuxuan, Qi Yingying. High Dynamic Range Image Fusion Algorithm for Moving Targets[J]. Acta Optica Sinica, 2017, 37(4): 0410001.

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