An HDR imaging method with DTDI technology for push-broom cameras

Wu Sun , Chengshan Han , Xucheng Xue , Hengyi Lv , Junxia Shi , Changhong Hu , Xiangzhi Li , Yao Fu , Xiaonan Jiang , Liang Huang , Hongyin Han

Photonic Sensors ›› 2017, Vol. 8 ›› Issue (1) : 34 -42.

PDF
Photonic Sensors ›› 2017, Vol. 8 ›› Issue (1) : 34 -42. DOI: 10.1007/s13320-017-0448-7
Regular

An HDR imaging method with DTDI technology for push-broom cameras

Author information +
History +
PDF

Abstract

Conventionally, high dynamic-range (HDR) imaging is based on taking two or more pictures of the same scene with different exposure. However, due to a high-speed relative motion between the camera and the scene, it is hard for this technique to be applied to push-broom remote sensing cameras. For the sake of HDR imaging in push-broom remote sensing applications, the present paper proposes an innovative method which can generate HDR images without redundant image sensors or optical components. Specifically, this paper adopts an area array CMOS (complementary metal oxide semiconductor) with the digital domain time-delay-integration (DTDI) technology for imaging, instead of adopting more than one row of image sensors, thereby taking more than one picture with different exposure. And then a new HDR image by fusing two original images with a simple algorithm can be achieved. By conducting the experiment, the dynamic range (DR) of the image increases by 26.02 dB. The proposed method is proved to be effective and has potential in other imaging applications where there is a relative motion between the cameras and scenes.

Keywords

Push-broom cameras / HDR imaging / remote sensing

Cite this article

Download citation ▾
Wu Sun, Chengshan Han, Xucheng Xue, Hengyi Lv, Junxia Shi, Changhong Hu, Xiangzhi Li, Yao Fu, Xiaonan Jiang, Liang Huang, Hongyin Han. An HDR imaging method with DTDI technology for push-broom cameras. Photonic Sensors, 2017, 8(1): 34-42 DOI:10.1007/s13320-017-0448-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Satellite Information-DigitalGlobe. Available online: http://www.digitalglobe.com/resources/satellite-information.

[2]

Ferwerda J. A., Pattanaik S. N., Shirley P., Greenberg D. P.. A model of visual adaptation for realistic image synthesis, 1996 4-9.

[3]

Huo Y. Q., Zhang X. D.. Single image-based HDR^imaging with CRF estimation. Proceedings of 2016 International Conference on Communication Problem-Solving, 2016 7-9.

[4]

Martin-Gonthier P., Magnan P., Corbiere F., Estribeau M., Huger N., Boucher L.. Dynamic range optimisation of CMOS^image sensors dedicated to space applications. SPIE, 2007, 6744, 67440.

[5]

Deng C. C., Mu D. Q., Jia X. Z., Li Z. X.. Effects of rubber shock absorber on the flywheel micro vibration in the satellite imaging system. Photonic Sensors, 2016, 6(4): 372-384.

[6]

Levine P. A., Dawson R. M., Andrews J. T., Bhaskaran M., Furst D., Hsueh F. L., . Performance of an extended dynamic range time delay integration charge coupled device (XDR^TDI CCD) for high-intrascene dynamic range scanning. SPIE, 2003, 5017, 217-227.

[7]

Debevec P. E., Malik J.. Recovering high dynamic range radiance maps from photographs. Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, 1997, 97, 369-378.

[8]

Piao Y. J., Jin G.. Fast exposure time decision in multi-exposure HDR imaging. Proceedings of 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012 84191F.

[9]

Barakat N., Darcie T. E.. Minimal capture sets for multi-exposure enhanced-dynamic-range imaging. IEEE International Symposium on Signal Processing and Information Technology, 2006 524-529.

[10]

Hirakawa K.. Iterative exposure bracketing. Proceedings of Digital Image Processing and Analysis, 2010 1-3.

[11]

Leong-Hoi A., Montgomery P. C., Serio B., Twardowski P., Uhring W.. High-dynamic-range microscope imaging based on exposure bracketing in full-field optical coherence tomography. Optics Letters, 2016, 41(7): 1313-1316.

[12]

Abolbashari M., MagalhÃŖes F., AraÃējo F. M. M., Correia M. V., Farahi F.. High dynamic range compressive imaging: a programmable imaging system. Optical Engineering, 2012, 51(7): 071407.

[13]

Zhang S., Yau S. T.. High dynamic range scanning technique. Optical Engineering, 2009, 48(3): 70660.

[14]

Agrawal A., Raman S.. A novel LBP^based operator for tone mapping HDR images. Proceedings of 2014 International Conference on Signal Processing and Communications, 2014 1-6.

[15]

Martínez-Sánchez A., Fernández C., Navarro P. J., Iborra A.. A novel method to increase LinLog CMOS sensors’ performance in high dynamic range scenarios. Sensors, 2011, 11(9): 8412-8429.

[16]

Xue X., Han C., Xue D., Guo Y.. Increasing dynamic range of space push-broom remote sensing camera by two-row TDI CCD. Optics and Precision Engineering, 2012, 20(12): 2791-2795.

[17]

Canning J.. Optical sensing: the last frontier for enabling intelligence in our wired up world and beyond. Photonic Sensors, 2012, 2(3): 193-202.

[18]

Gonzalez R. S., Woods R. E.. Digital image processing, 2010, Beijing, China: Publishing House of Electronics Industry, 1-976.

AI Summary AI Mindmap
PDF

154

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/