Volume 45 Issue S1
Jun.  2016
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Li Zhaolong, Shen Tongsheng, Lou Shuli. Vignetting correction method for the infrared system based on polynomial approximation[J]. Infrared and Laser Engineering, 2016, 45(S1): 6-10. doi: 10.3788/IRLA201645.S104002
Citation: Li Zhaolong, Shen Tongsheng, Lou Shuli. Vignetting correction method for the infrared system based on polynomial approximation[J]. Infrared and Laser Engineering, 2016, 45(S1): 6-10. doi: 10.3788/IRLA201645.S104002

Vignetting correction method for the infrared system based on polynomial approximation

doi: 10.3788/IRLA201645.S104002
  • Received Date: 2016-02-07
  • Rev Recd Date: 2016-03-14
  • Publish Date: 2016-05-25
  • Vignetting effect during infrared imaging is the phenomenon that image plane center region is bright but edge is dark. The vignetting effect is very serious, so it is necessary to correct the vignetting effect when the system is used. First, the cause of the vignetting effect was analyzed. Then, a fast correction method was proposed. The background information was extracted, and the background gray distribution was obtained by polynomial approximation. To evaluate the correction effect, the concept of variance between rows which has statistical significance was put forward. To verify the correction method, two kinds of scenes were used. Variance between rows was reduced to 13.6% and 3.8% compared with uncorrected images. The effect of the correction method is ideal.
  • [1] Feng Qiang, Huo Junyan, Yang Haitao. Anoval anti-vignetting method[J]. Electronic Science and Technology,2007(10):67-70. (in Chinese)
    [2] Wonpil Yu. Practical anti-vignetting methods for digital cameras[J]. IEEE Transactions on Consumer Electronics, 2004, 50(4):975-983.
    [3] Muralikrishna P, Prakash S, Subbaraya B H. Digital processing of spacelab imagery[J]. Advanced Space Research, 1982, 2(7):107-110.
    [4] Yu W, Chung Y, Soh J. Vignetting distortion correction method for high quality digital imaging[C]//IEEE Int Conf Pattern Recognition, 2004, 3:666-669.
    [5] Seon Joo Kim, Marc Pollefeys. Robust radiometric calibration and vignetting correction[J]. IEEE Trans ROPAAMI, 2008, 30(4):562-576.
    [6] Lei Chun, Zhang Baomin, Feng Shengrong. Research on vignetting in thermal imaging system[J]. Infrared and Laser Engineering, 2000, 29(4):13-16. (in Chinese)
    [7] Chen Siyu, Dai Shuguang, Mu Pingan. Correction of CCD camera lens vignetting[J]. Applied Mechanics and Materials,2013, 373-375:603-607.
    [8] Wu H S, Berba J, Gil J. Iterative thresholding for segmentation of cells from noisy images.[J]. Journal of Microscopy, 2000, 197(Pt3):296-304.
    [9] Xavier J B, Schnell A, Wuertz S, et al. Objective threshold selection procedure (OTS) for segmentation of scanning laser confocal microscope images[J]. Journal of Microbiological Methods, 2001, 47(2):169-180.
    [10] Piccinini F, Lucarelli E, Gherardi A, et al. Multi-image based method to correct vignetting effect in light microscopy images[J]. Journal of Microscopy, 2012, 248(1):6-22.
    [11] Aijun L, Hejun L, Kezhi L, et al. Modeling of CVI process in fabrication of carbon/carbon composites by an artificial neural network[J]. Science in China Ser E, 2003, 46(2):173-181.
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Vignetting correction method for the infrared system based on polynomial approximation

doi: 10.3788/IRLA201645.S104002
  • 1. Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;
  • 2. National Defense Science and Technology Information Center,Beijing 100142,China

Abstract: Vignetting effect during infrared imaging is the phenomenon that image plane center region is bright but edge is dark. The vignetting effect is very serious, so it is necessary to correct the vignetting effect when the system is used. First, the cause of the vignetting effect was analyzed. Then, a fast correction method was proposed. The background information was extracted, and the background gray distribution was obtained by polynomial approximation. To evaluate the correction effect, the concept of variance between rows which has statistical significance was put forward. To verify the correction method, two kinds of scenes were used. Variance between rows was reduced to 13.6% and 3.8% compared with uncorrected images. The effect of the correction method is ideal.

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