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Computational Calibration and Correction for Gigapixel Imaging System

  • Jiazhi Zhang
  • Jie He
  • Haiwen Li
  • Yuanchao Bai
  • Huizhu Jia
  • Louis TaoEmail author
  • Heng MaoEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 506)

Abstract

Large field of view (FOV) imaging with high spatial resolution has been increasingly required for numerous applications in recent years. Obviously, conventional photosensitive detector with tens of megapixels cannot satisfy the requirement. As a result, gigapixel cameras based on the multi-aperture imaging have become a possible solution to overcome the above limitation. In this paper, we developed an alternative gigapixel imaging system which implements the multiple CMOS chips mosaic in the external optical path and presented the computation methods for calibrating the vignetting distributions and other geometric parameters in the system. Consequently, our gigapixel imaging system has achieved the performance of 24 Hz, 0.2Giga, single-pixel resolution.

Keywords

Gigapixel Multi-aperture imaging External optical path mosaic System calibration 

References

  1. 1.
    Onaka P, Tonry JL (2008) The pan-starrs gigapixel camera #1 and stargrasp controller results and performance. Proceedings of SPIE - The International Society for Optical Engineering 7014:70140D-70140D-12Google Scholar
  2. 2.
    Leininger B, Antoniades J, Stevens M, Targove JD (2008) Autonomous real-time ground ubiquitous surveillance-imaging system (argus-is). Proceedings of SPIE - The International Society for Optical Engineering 6981:69810H-69810H-11Google Scholar
  3. 3.
    Brady DJ, Gehm ME, Stack RA, Marks DL, Kittle DS, Golish DR et al (2012) Multiscale gigapixel photography. Nature 486(7403):386CrossRefGoogle Scholar
  4. 4.
    Marks DL, Kim J, Brady DJ (2012) Engineering a gigapixel monocentric multiscale camera. Opt Eng 51(8):3202CrossRefGoogle Scholar
  5. 5.
    Golish DR, Vera EM, Kelly KJ, Gong Q, Jansen PA, Hughes JM et al (2012) Development of a scalable image formation pipeline for multiscale gigapixel photography. Opt Express 20(20):22048CrossRefGoogle Scholar
  6. 6.
    Son HS, Johnson A, Stack RA, Shaw JM, Mclaughlin P, Marks DL et al (2013) Optomechanical design of multiscale gigapixel digital camera. Appl Opt 52(8):1541CrossRefGoogle Scholar
  7. 7.
    Marks DL, Llull PR, Phillips Z, Anderson JG, Feller SD, Vera EM et al (2014) Characterization of the aware 10 two-gigapixel wide-field-of-view visible imager. Appl Opt 53(13):54–63CrossRefGoogle Scholar
  8. 8.
    Zheng Y, Yu J, Kang SB, Lin S (2008) Single-image vignetting correction using radial gradient symmetry. Computer vision and pattern recognition, 2008. CVPR 2008. IEEE Conf IEEE 31:1–8Google Scholar
  9. 9.
    Zhang Z, Zou S, Zuo Z (2011) An improved algorithm of mask image dodging for aerial image. MIPPR 2011: remote sensing image processing. Geogr Inform Syst Other Appl 8006:420–430Google Scholar
  10. 10.
    Gribbon KT, Bailey DG (2004). A novel approach to real-time bilinear interpolation. IEEE international workshop on electronic design, test and applications. IEEE Computer Society. pp~126Google Scholar
  11. 11.
    Weng J, Cohen P, Herniou M (1992) Camera calibration with distortion models and accuracy evaluation. Pattern Analysis & Machine Intelligence IEEE Transactions on 14(10):965–980CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetic EngineeringSchool of Life Sciences, Peking UniversityBeijingChina
  2. 2.LMAMSchool of Mathematical Sciences, Peking UniversityBeijingChina
  3. 3.School of Electronics Engineering and Computer SciencePeking UniversityBeijingChina
  4. 4.Center for Quantitative Biology, Peking UniversityBeijingChina

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