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Content Aware Image Enhancement

  • Gianluigi Ciocca
  • Claudio Cusano
  • Francesca Gasparini
  • Raimondo Schettini
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4733)

Abstract

We present our approach, integrating imaging and vision, for content-aware enhancement and processing of digital photographs. The overall quality of images is improved by a modular procedure automatically driven by the image class and content.

Keywords

Color Space Image Enhancement Neutral Axis Color Histogram Image Annotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Buchsbaum, G.: A spatial processor model for object color perception. Journal of Franklin Institute 310, 1–26 (1980)CrossRefGoogle Scholar
  2. 2.
    Cardei, V., Funt, B., Barnard, K.: White Point Estimation for Uncalibrated Images. In: Proc. of the IS&T/SID Seventh Color Imaging Conference, pp. 97–100 (1999)Google Scholar
  3. 3.
    Barnard, K., Cardei, V., Funt, B.: Comparison of Computational Color Constancy Algorithms-Part I: Methodology and Experiments with Synthesized Data. IEEE Transactions on Image Processing 11(9), 972–983 (2002)CrossRefGoogle Scholar
  4. 4.
    Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proc. IEEE Int. Conf. on Computer Vision, pp. 836–846. IEEE Computer Society Press, Los Alamitos (1998)Google Scholar
  5. 5.
    Moroney, N.: Local colour correction using non-linear masking. In: Proc. IS&T/SID Eighth Color Imaging Conference, pp. 108–111 (2000)Google Scholar
  6. 6.
    Kashyap, R.L.: A robust variable length nonlinear filter for edge enhancement and noise smoothing. In: Proc. of the Int. Conf. on Signal Processing, pp. 143–145 (1994)Google Scholar
  7. 7.
    Polesel, A., Ramponi, G., Mathews, V.J.: Image Enhancement Via Adaptive Unsharp Masking. IEEE Transactions on Image Processing 9(3), 505–510 (2000)CrossRefGoogle Scholar
  8. 8.
    Land, E.: The Retinex Theory of Color Vision. Scientific American 237, 108–129 (1997)CrossRefGoogle Scholar
  9. 9.
    Rahman, Z., Jobson, D., Woodell, G.: Retinex processing for automatic image enhancement. Journal of Electronic Imaging 13(1), 100–110 (2004)CrossRefGoogle Scholar
  10. 10.
    Rizzi, A., Gatta, C., Marini, D.: A new algorithm for unsupervised global and local color correction. Pattern Recognition Letters 24, 1663–1677 (2003)CrossRefGoogle Scholar
  11. 11.
    Meylan, L., Susstrunk, S.: Bio-inspired image enhancement for natural color images. Proc. IS&T/SPIE Electronic Imaging 5292, 46–56 (2004)Google Scholar
  12. 12.
    Naccari, F., Battiato, S., Bruna, A., Capra, A., Castorina, A.: Natural Scene Classification for Color Enhancement. IEEE Trans. on Consumer Electronics 5(1), 234–239 (2005)CrossRefGoogle Scholar
  13. 13.
    Schettini, R., Brambilla, C., Cusano, C., Ciocca, G.: Automatic classification of digital photographs based on decision forests. Int. Journal of Pattern Recognition and Artificial Intelligence 18(5), 819–845 (2004)CrossRefGoogle Scholar
  14. 14.
    Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees, Wadsworth and Brooks/Cole (1984)Google Scholar
  15. 15.
    Cusano, C., Gasparini, F., Schettini, R.: Image annotation for adaptive enhancement of uncalibrated color images. In: Bres, S., Laurini, R. (eds.) VISUAL 2005. LNCS, vol. 3736, pp. 216–225. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  16. 16.
    Cortes, C., Vapnik, V.: Support-Vector Networks. Machine Learning 20(3), 273–297Google Scholar
  17. 17.
    Gasparini, F., Schettini, R.: Skin segmentation using multiple thresholding. In: Santini, S., Schettini, R., Gevers, T. (eds.) Proc. Internet Imaging VII, vol. 6061, pp. 1–8 (2006)Google Scholar
  18. 18.
    Rowley, H., Baluja, S., Kanade, T.: Neural Network-Based Face Detection. IEEE Trans. on Pattern Analysis and Machine Intelligence 20(1), 23–28 (1998)CrossRefGoogle Scholar
  19. 19.
    Yang, M.H, Kriegman, D.J., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Trans. on Pattern Analysis and Machine Intelligence 24(1), 34–58 (2002)CrossRefGoogle Scholar
  20. 20.
    Gasparini, F., Schettini, R.: Automatic redeye removal for smart enhancement of photos of unknown origin. In: Bres, S., Laurini, R. (eds.) VISUAL 2005. LNCS, vol. 3736, pp. 226–233. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  21. 21.
    Itti, L., Koch, C.: A model of saliency based visual attention of rapid scene analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence 20, 1254–1259 (1998)CrossRefGoogle Scholar
  22. 22.
    Ciocca, G., Cusano, C., Schettini, R.: Image annotation using SVM. In: Santini, S., Schettini, R. (eds.) Proc Internet imaging V SPIE, vol. 5304, pp. 330–338 (2004)Google Scholar
  23. 23.
    Cooper, T.: A Novel Approach to Color Cast Detection and Removal in digital Images. In: Proc. SPIE, vol. 3963, pp. 167–175 (2000)Google Scholar
  24. 24.
    Cooper, T.: Color Segmentation as an Aid to White Balancing for Digital Still Cameras. In: Proc. SPIE, vol. 4300, pp. 164–171 (2001)Google Scholar
  25. 25.
    Barnard, K., Cardei, V., Funt, B.: A Comparison of Computational Color Constancy Algorithms-Part I: Experiments with Image Data. IEEE Transaction On Image Processing 11(9) (2002)Google Scholar
  26. 26.
    Capra, A., Corchs, S., Gasparini, F., Schettini, R.: Dynamic Range Optimization by Local Contrast Correction and Histogram Image Analysis. In: ICCE 2006. Proc. IEEE International Conference on Consumer Electronics, pp. 309–310 (2006)Google Scholar
  27. 27.
    Christopoulos, C., Skodras, A., Ebrahimi, T.: The JPEG2000 still image coding system: an overview. IEEE Trans. Consumer Electronic 46(4), 1103–1127 (2000)CrossRefGoogle Scholar
  28. 28.
    Chen, L., Xie, X., Fan, X., Ma, W., Zhang, H., Zhou, H.: A visual attention model for adapting images on small displays. Multimedia Systems 9, 353–364 (2003)CrossRefGoogle Scholar
  29. 29.
    Suh, B., Ling, H., Bederson, B.B., Jacobs, D.W.: Automatic Thumbnail Cropping and its Effectiveness. In: Proc. UIST 2003, pp. 95–104 (2003)Google Scholar
  30. 30.
    Ciocca, G., Cusano, C., Gasparini, F., Schettini, R.: Self Adaptive Image Cropping for Small Displays. In: ICCE. Proc. IEEE Int. Conf. on Consumer Electronics, pp. 10–14. IEEE Computer Society Press, Los Alamitos (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gianluigi Ciocca
    • 1
  • Claudio Cusano
    • 1
  • Francesca Gasparini
    • 1
  • Raimondo Schettini
    • 1
  1. 1.DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 MilanoItaly

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