Abstract
The imaging system based on a fish-eye lens generally has to correct the distortion of fish-eye images. The distortion correction based on the Bayer image signal is valuable, such as reducing the computation burden of image signal processing chips and providing a new imaging system structure of fish-eye lens. In this paper, a distortion correction method of fish-eye lens based on the Bayer image signal is proposed. Firstly, a distortion correction method that focuses on vertical straight lines and processing delay is proposed. Secondly, according to the correlation among color channels of the Bayer image, a novel Hermite interpolation method appropriate for Bayer image signal is proposed. Finally, a prototype system of fish-eye-lens-based imaging is established and the real-time field-programmable gate array (FPGA) implementation of the proposed method is demonstrated. The experiment demonstrates that the proposed distortion correction is not only characteristic of real-time processing and the smaller computation amount, but also applicable to embedded hardware.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
B. Tang and J. E. Crenshaw: U.S. Patent 20110141321 A1 (2009).
P. Thévenaz, T. Blu, and M. Unser: in Handbook of Medical Imaging, Processing and Analysis, ed. I. N. Bankman (Academic Press, San Diego, CA, 2000) p. 393.
A. Basu and S. Licardie: Pattern Recognition Lett. 16 (1995) 433.
F. Devernay and O. Faugeras: Mach. Vision Appl. 13 (2001) 14.
J. Kannala and S. S. Brandt: IEEE Trans. Pattern Anal. Mach. Intell. 28 (2006) 1335.
J. Wang, F. Shi, J. Zhang, and Y. Liu: Pattern Recognition 41 (2008) 607.
J. P. Snyder: Flattening the Earth: Two Thousand Years of Map Projections (University of Chicago Press, Chicago, IL, 1997) p. 1.
J. P. Snyder: Map Projections-A Working Manual (USGPO, NW Washington, D.C., 1987) p. 1.
T. K. Sharpless, B. Postle, and D. M. German: Proc. 6th Int. Conf. Computational Aesthetics in Graphics, Visualization and Imaging, 2010, p. 9.
R. Carroll, M. Agrawal, and A. Agarwala: ACM Trans. Graphics 28 (2009) 43.
J. Kopf, D. Lischinski, O. Deussen, D. Cohen-Or, and M. Cohen: Comput. Graphics Forum, 2009, p. 1083.
J. Wei, C. F. Li, S. M. Hu, R. R. Martin, and C. L. Tai: IEEE Trans. Visualization Comput. Graphics 18 (2012) 1771.
R. Keys: IEEE Trans. Acoust. Speech Signal Process. 29 (1981) 1153.
D. Menon and G. Calvagno: Signal Process. Image Commun. 26 (2011) 518.
Y. M. Lu, M. Karzand, and M. Vetterli: IEEE Trans. Image Process. 19 (2010) 2085.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lai, S., Xiong, Z., Chen, L. et al. Real-time distortion correction of fish-eye lens based on Bayer image signal. OPT REV 21, 162–173 (2014). https://doi.org/10.1007/s10043-014-0025-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10043-014-0025-x