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Logarithmic Model-Based Dynamic Range Enhancement of Hip X-Ray Images

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4678))

Abstract

Digital capture with consumer digital still camera of the radiographic film significantly decreases the dynamic range and, hence, the details visibility. We propose a method that boosts the dynamic range of the processed X-ray image based on the fusion of a set of digital images acquired under different exposure values. The fusion is controlled by a fuzzy-like confidence information and the luminance range is over-sampled by using logarithmic image processing operators.

This work was supported by the CEEX VIASAN grant 69/2006.

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References

  1. Schechner, Y.Y., Nayar, S.K.: Generalized mosaicing: High dynamic range in a wide field of view. International Journal on Computer Vision 53, 245–267 (2003)

    Article  Google Scholar 

  2. Kuglin, C.D., Hines, D.C.: The phase correlation image alignment method. In: Proc. of IEEE Conference on Cybernetics and Society, Bucharest, Romania, pp. 163–165. IEEE Computer Society Press, Los Alamitos (1975)

    Google Scholar 

  3. Averbuch, A., Keller, Y.: Fft based image registration. In: ICASSP 2002. Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando FL, USA, vol. 4, pp. 3608–3611. IEEE, Los Alamitos (2002)

    Google Scholar 

  4. PH2.5-1960, A.: American standard method for determining speed of photographic negative materials (monochrome, continuous tone) United States of America Standards Institute (1960)

    Google Scholar 

  5. Debevec, P., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: Proc. of ACM SIGGRAPH 24th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles CA, USA, vol. 1, pp. 369–378. ACM, New York (1997)

    Chapter  Google Scholar 

  6. Grossberg, M.D., Nayar, S.K.: High dynamic range from multiple images: Which exposures to combine? In: Proc. of IEEE Workshop on Color and Photometric Methods in Computer Vision at ICCV 2003, Nice, France, IEEE, Los Alamitos (2003)

    Google Scholar 

  7. Mann, S., Picard, R.: Being ’undigital’ with digital cameras: Extending dynamic range by combining differently exposed pictures. In: Proc. of ST’s 48th Annual Conference, Washington, DC, USA, vol. 1, pp. 422–428 (1995)

    Google Scholar 

  8. Mitsunaga, T., Nayar, S.K.: High dynamic range imaging: Spatially varying pixel exposures. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition CVPR, Hilton Head SC, USA, vol. 1, pp. 472–479. IEEE, Los Alamitos (2000)

    Google Scholar 

  9. Jourlin, M., Pinoli, J.C.: A model for logarithmic image processing. Journal of Microscopy 149, 21–35 (1998)

    Google Scholar 

  10. Jourlin, M., Pinoli, J.C.: Logarithmic image processing. Advances in Imaging and Electron Physics 115, 129–196 (2001)

    Google Scholar 

  11. Deng, G., Cahill, L.W., Tobin, G.R.: The study of logarithmic image processing model and its application to image enhancement. IEEE Trans. on Image Processing 4, 506–512 (1995)

    Article  Google Scholar 

  12. Patraşcu, V., Buzuloiu, V., Vertan, C.: Fuzzy image enhancement in the framework of logarithmic model. In: Nachtegael, M., Kerre, E. (eds.) Algorithms in Modern Mathematics and Computer Science. Studies in Fuzziness and Soft Computing, vol. 122, pp. 219–237. Springer, Heidelberg (2003)

    Google Scholar 

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Jacques Blanc-Talon Wilfried Philips Dan Popescu Paul Scheunders

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© 2007 Springer-Verlag Berlin Heidelberg

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Florea, C., Vertan, C., Florea, L. (2007). Logarithmic Model-Based Dynamic Range Enhancement of Hip X-Ray Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_53

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  • DOI: https://doi.org/10.1007/978-3-540-74607-2_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74606-5

  • Online ISBN: 978-3-540-74607-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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