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Perceived quality of wood images influenced by the skewness of image histogram

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Abstract

The shape of image luminance histograms is related to material perception. We investigated how the luminance histogram contributed to improvements in the perceived quality of wood images by examining various natural wood and adhesive vinyl sheets with printed wood grain. In the first experiment, we visually evaluated the perceived quality of wood samples. In addition, we measured the colorimetric parameters of the wood samples and calculated statistics of image luminance. The relationship between visual evaluation scores and image statistics suggested that skewness and kurtosis affected the perceived quality of wood. In the second experiment, we evaluated the perceived quality of wood images with altered luminance skewness and kurtosis using a paired comparison method. Our result suggests that wood images are more realistic if the skewness of the luminance histogram is slightly negative.

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References

  1. Hiramatsu, C., Goda, N., Komatsu, H.: Neuroimage. 57, 482 (2011)

    Article  Google Scholar 

  2. Motoyoshi, I., Nishida, S., Sharan, L., Adelson, E.H.: Nature. 447, 206 (2007)

    Article  ADS  Google Scholar 

  3. Wada, Y., Arce-Lopera, C., Masuda, T., Kimura, A., Dan, I., Goto, S., Tsuzuki, D., Okajima, K.: Appetite. 54, 363 (2010)

    Article  Google Scholar 

  4. Arce-Lopera, C., Masuda, T., Kimura, A., Wada, Y., Okajima, K.: Iperception. 3, 338 (2012)

    Google Scholar 

  5. Arce-Lopera, C., Masuda, T., Kimura, A., Wada, Y., Okajima, K.: Food Qual. Prefer. 27, 202 (2013)

    Article  Google Scholar 

  6. Arce-Lopera, C., Igarashi, T., Nakao, K., Okajima, K.: Skin Res. Technol. 19, e273 (2013)

    Article  Google Scholar 

  7. Luo, M.R., Hunt, R.W.G.: Color Res. Appl. 23, 138 (1998)

    Article  Google Scholar 

  8. Guth, S.L., Lodge, H.R.: J. Opt. Soc. Am. 63, 450 (1973)

    Article  ADS  Google Scholar 

  9. The Wood Database, 2013. Wood Image Database. http://www.wood-database.com/

  10. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, p. 161. Addison-Wesley, Boston (1992)

    Google Scholar 

  11. Moulden, B., Kingdom, F., Gatley, L.F.: Perception. 19, 79 (1990)

    Article  Google Scholar 

  12. Nakamura, M., Masuda, M.: Mokuzai Gakkaishi [in Japanese]. 41(3):301 (1995)

  13. Fairchild, M.D.: Color Appearance Models, 2nd edn, p. 26. Wiley, Rochester (2005)

    Google Scholar 

Download references

Acknowledgments

This work was partially supported the Japan Society for Promotion of Science 23135506 (YM).

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Correspondence to Shigehito Katsura.

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Katsura, S., Mizokami, Y. & Yaguchi, H. Perceived quality of wood images influenced by the skewness of image histogram. Opt Rev 22, 565–576 (2015). https://doi.org/10.1007/s10043-015-0104-7

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  • DOI: https://doi.org/10.1007/s10043-015-0104-7

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