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Simple multiscale image enhancement for natural images

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Abstract

In a digital still camera (DSC) system, the dynamic range is usually compressed linearly in logarithmic space. Hence, an image taken by a DSC tends to be low contrast, and gives a flat impression without liveliness in comparison with conventional silver halide photographs. In this paper, a new digital image enhancement method based on multiscale smoothing is proposed. In the proposed method, first, the difference between an input image and a smoothed one is obtained in various scales. Then, brightness conversion in the n-th scale is carried out by adding the differential image of n-th scale to an input image. Finally, by synthesizing each conversion result, high-contrast and sharpened image with liveliness is obtained. The effectiveness of the proposed method is verified by applying it to some natural images.

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References

  1. A. K. Jain: Fundamentals of Digital Image Processing (Prentice-Hall, Upper Saddle River, NJ, 1989) p. 233.

    MATH  Google Scholar 

  2. D. J. Ketcham: Proc. SPIE 74 (1976) 120.

    ADS  Google Scholar 

  3. S. M. Pizer, J. D. Austin, J. R. Perry, H. D. Safrit, and J. B. Zimmerman: Proc. SPIE 626 (1986) 242.

    Google Scholar 

  4. S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. H. Romeny, and J. B. Zimmerman: Comput. Vision Gr. Image Process. 39 (1987) 355.

    Article  Google Scholar 

  5. A. Saito, K. Ogawa, and M. Nakajima: Denshi Joho Tsushin Gakkai Ronbunshi J73-D-II (1990) 1504 [in Japanese].

    Google Scholar 

  6. H. Zhu, F. H. Y. Chan, and F. K. Lam: Comput. Vision Image Understand. 73 (1999) 281.

    Article  Google Scholar 

  7. J. A. Stark: IEEE Trans. Image Process. 9 (2000) 889.

    Article  ADS  Google Scholar 

  8. H. D. Cheng and X. J. Shi: Digit. Signal Process. 14 (2004) 158.

    Article  Google Scholar 

  9. N. Bassiou and C. Kotropoulos: Comput. Vision Image Understand. 107 (2007) 108.

    Article  Google Scholar 

  10. K. S. Sim, C. P. Tso, and Y. Y. Tan: Pattern Recogn. Lett. 28 (2007) 1209.

    Article  Google Scholar 

  11. G. Ramponi: Proc. IEEE Workshop Nonlinear Signal and Image Processing, Neos Marmaras, 1995, p. 20.

  12. G. Ramponi: Signal Process. 67 (1998) 211.

    Article  MATH  Google Scholar 

  13. H. Greenspan, C. H. Anderson, and S. Akber: IEEE Trans. Image Process. 9 (2000) 1035.

    Article  MATH  MathSciNet  ADS  Google Scholar 

  14. A. F. Laine, S. Schuler, J. Fan, and W. Huda: IEEE Trans. Med. Imag. 13 (1994) 725.

    Article  Google Scholar 

  15. M. Unser and A. Aldroubi: Proc. IEEE 84 (1996) 626.

    Article  Google Scholar 

  16. K. Velde: Proc. Int. Conf. Image Processing, Kobe, 1999, Vol. 3, p. 584.

    Google Scholar 

  17. Y. Wan and D. Shi: IEEE Trans. Image Process. 16 (2007) 2245.

    Article  MathSciNet  ADS  Google Scholar 

  18. J.-L. Starck, F. Murtagh, E. J. Candès, and D. L. Donoho: IEEE Trans. Image Process. 12 (2003) 706.

    Article  MathSciNet  ADS  Google Scholar 

  19. A. L. da Cunha, J. Zhou, and M. N. Do: IEEE Trans. Image Process. 15 (2006) 3089.

    Article  ADS  Google Scholar 

  20. E. H. Land: Am. Sci. 52 (1964) 247.

    Google Scholar 

  21. E. H. Land and J. J. McCann: J. Opt. Soc. Am. 61 (1971) 1.

    Article  ADS  Google Scholar 

  22. E. H. Land: Vis. Res. 26 (1986) 7.

    Article  Google Scholar 

  23. D. J. Jobson, Z. Rahman, and G. A. Woodell: IEEE Trans. Image Process. 6 (1997) 965.

    Article  ADS  Google Scholar 

  24. D. J. Jobson, Z. Rahman, and G. A. Woodell: IEEE Trans. Image Process. 6 (1997) 451.

    Article  ADS  Google Scholar 

  25. M. Ogata, T. Tsuchiya, T. Kubozono, and K. Ueda: IEEE Trans. Consum. Electron. 47 (2001) 548.

    Article  Google Scholar 

  26. C. Munteanu and A. Rosa: Proc. 2001 IEEE Signal Processing Society Workshop Neural Networks for Signal Processing XI, Falmouth, 2001, p. 393.

  27. G. Orsini, G. Ramponi, P. Carrai, and R. Di Federico: Proc. Int. Conf. Image Processing, Barcelona, 2003, Vol. 3, p. 393.

    Google Scholar 

  28. S. Carrato: 5th COST 276 Workshop, Prague, 2003, p. 1.

  29. S. Marsi, G. Ramponi, and S. Carrato: IEEE Int. Workshop Imaging Systems and Techniques, Stresa, 2004, p. 29.

  30. Y. Takematsu, T. Nakaguchi, N. Tsumura, and Y. Miyake: Nihon Shasin Gakkaishi 67 (2004) 410 [in Japanese].

    Google Scholar 

  31. S. Saponara, L. Fanucci, S. Marsi, G. Ramponi, D. Kammler, and E. M. Witte: IEEE Trans. Circ. Syst. II 54 (2007) 596.

    Article  Google Scholar 

  32. T. Peli and J. S. Lim: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Atlanta, 1981, p. 1117.

  33. K. Sugawara, H. Yamamoto, and R. Konishi: Denshi Joho Tsushin Gakkai Ronbunshi J80-D-II (1997) 1786 [in Japanese].

    Google Scholar 

  34. I. Kuroda: IEICE Trans. Fundum. Electron. Commun. Comput. Sci. E84-A (2001) 390.

    Google Scholar 

  35. D. J. Jobson, Z. Rahman, and G. A. Woodell: Proc. SPIE 4736 (2002) 25.

    Article  ADS  Google Scholar 

  36. K. Huang, Z. Wu, and Q. Wang: Image Vision Comput. 23 (2005) 51.

    Article  Google Scholar 

  37. N. Kobayashi, H. Saito, and M. Nakajima: Denshi Joho Tsushin Gakkai Ronbunshi J77-D-II (1994) 502 [in Japanese].

    Google Scholar 

  38. G. J. Braun and M. D. Fairchild: J. Electron. Imaging 8 (1999) 380.

    Article  ADS  Google Scholar 

  39. T. Watanabe, K. Konnai, and Y. Hoshino: Nihon Gazo Gakkaishi 41 (2002) 3 [in Japanese].

    Google Scholar 

  40. M. Sakauchi, Y. Ohsawa, M. Sone, and M. Onoe: ITEJ Tech. Rep. 8 (1984) 7 [in Japanese].

    Google Scholar 

  41. http://www.ess.ic.kanagawa-it.ac.jp/app_images_j.html

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Correspondence to Noriaki Suetake.

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Tanaka, G., Suetake, N. & Uchino, E. Simple multiscale image enhancement for natural images. OPT REV 17, 130–138 (2010). https://doi.org/10.1007/s10043-010-0023-6

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