http://iet.metastore.ingenta.com
1887

Practical photoquantity measurement using a camera

Practical photoquantity measurement using a camera

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Image Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

An image output by a camera is generally not a faithful representation of the real scene, because it undergoes a series of radiometric disturbances during the imaging process. This study proposes a method for obtaining a more accurate measure of the light seen by a camera. The proposed method requires no specific calibration apparatus and only minimal supervision. Nevertheless, it is quite comprehensive, since it accounts for response function, exposure, vignetting, spatial non-uniformity of the sensor and colour balancing. This method works in two steps. First, the camera is calibrated off-line, in a photoquantity sense. Then, the photoquantity of any scene can be estimated in-line.The method is therefore geared to a wide range of computer vision applications where a camera is expected to give a measurement of the visible light. This study starts by presenting a photoquantity model of the camera-imaging process. It then describes the key steps of calibration and correction method. Finally, the results are given and analysed to evaluate the relevance of this approach.

References

    1. 1)
      • B.K.P. Horn , M.J. Brooks . (1989) Shape from shading.
    2. 2)
    3. 3)
      • Yu, Y., Debevec, P., Malik, J., Hawkins, T.: `Inverse global illumination: recovering reflectance models of real scenes from photographs', Proc. 26th Annual Conf. on Computer Graphics and Interactive Techniques (SIGGRAPH), 1999, p. 215–224.
    4. 4)
      • Mann, S., Picard, R.W.: `Video orbit of the projective group: a new perspective on image mosaicing', no. 338, MIT Media Laboratory Perceptual computing Section Technical, 1995.
    5. 5)
      • Tarel, J.-P.: `Calibration Radiométrique de Caméra', No. 2509, INRIA Research Report, 1995.
    6. 6)
      • Mann, S., Picard, R.W.: `On Being ‘undigital’ with digital cameras: extending dynamic range by combining differently exposed pictures'.', Proc. IS&T, 1995, p. 442–448.
    7. 7)
      • Debevec, P.E., Malik, J.: `Recovering high dynamic range radiance maps from photographs', Proc. 24th Annu. Conf. on Computer Graphics and Interactive Techniques (SIGGRAPH), 1997, p. 369–378.
    8. 8)
    9. 9)
      • Mitsunaga, T., Nayar, S.K.: `Radiometric self calibration', IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 1999, 1, p. 374–380.
    10. 10)
    11. 11)
      • Y. Zheng , S. Lin , C. Kambhamettu , J. Yu , S.B. Kang . Single-image vignetting correction. IEEE Trans. Pattern Anal. Mach. Intell. , 461 - 468
    12. 12)
      • Kang, S.B., Weiss, R.S.: `Can we calibrate a camera using an image of a flat, textureless Lambertian surface?', Proc. Sixth European Conf. on Computer Vision (ECCV), 2000, 2, p. 640–653.
    13. 13)
      • Goldman, D.B., Chen, J.-H.: `Vignette and exposure calibration and compensation', Proc. Tenth IEEE Int. Conf. on Computer Vision (ICCV), 2005, 1, p. 899–906.
    14. 14)
    15. 15)
      • Litvinov, A., Schechner, Y.Y.: `Addressing radiometric nonidealities: a unified framework', IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2005, 2, p. 52–59.
    16. 16)
    17. 17)
    18. 18)
      • Motwani, M., Gadiya, M., Motwani, R., Harris, F.C.: `A survey of image denoising techniques', Proc. GSPx, 2004.
    19. 19)
    20. 20)
      • d'Angelo, P.: `Radiometric alignment and vignetting calibration', Fifth Int. Conf. on Comput. Vis. Syst. (ICVS), 2007.
    21. 21)
      • Grossberg, M.D., Nayar, S.K.: `What is the space of camera response functions?', IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2003, 2, p. 602–609.
    22. 22)
      • Yu, W., Chung, Y., Soh, J.: `Vignetting distortion correction method for high quality digital imaging', Proc. 17th Int. Conf. on Pattern Recognition (ICPR), 2004, 3, p. 666–669.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2010.0130
Loading

Related content

content/journals/10.1049/iet-ipr.2010.0130
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address