Adaptive Sharpening with Overshoot Control

  • Antonio Buemi
  • Gaetano Santoro
  • Arcangelo Bruna
  • Mirko Guarnera
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)


This paper presents the Adaptive Sharpening with Overshoot Control (ASOC), an algorithm for digital image contrast enhancement. The ASOC exploits a properly defined band-pass filter in order to better discriminate the "uniform/not uniform" zones of the input (blurred) image. A more aggressive sharpening is then performed on the textured zones, whilst the homogeneous regions are preserved.


sharpening gradients band pass filters overshoot 


  1. 1.
    Gonzales, R.C., Woods, R.E.: Digital Image Processing. 2, pp. 91-109/125-141. Prentice Hall, Englewood Cliffs (2002)Google Scholar
  2. 2.
    Badamchizadeh, M.A., Aghagolzadeh, A.: Comparative Study Of Unsharp Masking Methods For Image Enhancement. In: Proceedings of the Third International Conference on Image and Graphics, ICIG 2004 (2004)Google Scholar
  3. 3.
    Polesel, A., Ramponi, G., Mathews, V.J.: Image Enhancement via Adaptive Unsharp Masking. IEEE Trans. on Image Processing 9(3), 505–510 (2000)CrossRefGoogle Scholar
  4. 4.
    Ramponi, G., Polesel, A.: A Rational Unsharp Masking Technique. Journal of Electronic Imaging 7(2), 333–338 (1998)CrossRefGoogle Scholar
  5. 5.
    Baldrich, R., Vanrell, M., Benavente, R., Salvatela, A.: Color Image Enhancement Based On Perceptual Sharpening. In: Proceedings of International Conference on Image Processing (ICIP), September 14-17, vol. 3, pp. III–401–III–404 (2003)Google Scholar
  6. 6.
    Marsi, S., Ramponi, G., Carrato, S.: Image Contrast Enhancement Using a Recursive Rational Filter. In: IEEE International Workshop on Imaging System and Techniques, Stresa, Italy (IST), May 14 (2004)Google Scholar
  7. 7.
    Murphy, N.P.: Determining a Sharpening Filter for a Digital Image, European Patent, EP1411470A2, April 21 (2004)Google Scholar
  8. 8.
    Kim, J.-Y., Kim, L.-S., Hwang, S.-H.: An Advanced Contrast Enhancement Using Partially Overlapped Sub-block Histogram Equalization. In: Proceedings of IEEE International symposium on Circuits and Systems (ISCAS 2000), May 28-31 (2000)Google Scholar
  9. 9.
    Konstantinides, K., Bhaskaran, V., Beretta, G.: Image Sharpening in the JPEG Domain. IEEE Transactions On Image Processing 8(6) (June 1999)Google Scholar
  10. 10.
    Berkner, K., Gormish, M.J., Schwartz, E.L., Bolielc, M.: A New Wavelet-Based Approach to Sharpening and Smoothing of Images in Besov Spaces with Applications to Deblurring, September 10-13, vol. 3, pp. 797–800 (2000)Google Scholar
  11. 11.
    Nezhadarya, E., Shamsollahi, M.B.: Image Contrast Enhancement by Contourlet Transform. In: 48th International Symposium ELMAR-2006, June 07-09 (2006)Google Scholar
  12. 12.
    Fu, S.: Fuzzy Bidirectional Flow for Adaptive Image Sharpening. In: IEEE International Conference on Image Processing, ICIP 2005, September 11-14, vol. 1, pp. 917–920 (2005)Google Scholar
  13. 13.
    Russo, F., Ramponi, G.: A Fuzzy Operator for the Enhancement of Blurred and Noisy Images. IEEE Transactions on Image Processing 4(8) (August 1995)Google Scholar
  14. 14.
    Chen, D., Qian, Y.: An Improved Algorithm of Adaptive Fuzzy Image Enhancement. In: International Symposium on Computer Science and Computational Technology (2008)Google Scholar
  15. 15.
    Chung, M.K., Kee, D., Leu, J.-G.: Edge sharpening through ramp width reduction. Image and Vision Computing 18(6), 501–514 (2000)Google Scholar
  16. 16.
    Li, X.: Luminance Enhancement With Overshoot Reduction Control Based on Chrominance Information, US Patent 6453068, September 17 (2002)Google Scholar
  17. 17.
    Buemi, A., Santoro, G., Bruna, A., Guarnera, M.: Adaptive Directional Sharpening with Overshoot Control. Electronic Imaging, January 27-31 (2008)Google Scholar
  18. 18.
    Wang, Z., Zhang, D.: Progressive switching median filter for the removal of impulse noise from highly corrupted images. Circuits and Systems II: IEEE Trans on Analog and Digital Signal Processing 46(1), 78–80 (1999)MathSciNetCrossRefGoogle Scholar
  19. 19.
    Bruna, A., Bosco, A., Smith, S., Tomaselli, V.: Fast noise level estimation using a convergent multiframe approach. In: IEEE International conference on image processing (ICIP 2006), October 8-11 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Antonio Buemi
    • 1
  • Gaetano Santoro
    • 1
  • Arcangelo Bruna
    • 1
  • Mirko Guarnera
    • 1
  1. 1.ST Microelectronics, AST Catania LabImaging GroupCataniaItaly

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