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Multispectral information hiding in RGB image using bit-plane-based watermarking and its application

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Abstract

Although it was expected that multispectral images would be implemented in many applications, such as remote sensing and medical imaging, their use has not been widely diffused in these fields. The development of a compact multispectral camera and display will be needed for practical use, but the format compatibility between multispectral and RGB images is also important for reducing the introduction cost and having high usability. We propose a method of embedding the spectral information into an RGB image by watermarking. The RGB image is calculated from the multispectral image, and then, the original multispectral image is estimated from the RGB image using Wiener estimation. The residual data between the original and the estimated multispectral image are compressed and embedded in the lower bit planes of the RGB image. The experimental results show that, as compared with Wiener estimation, the proposed method leads to more than a 10 dB gain in the peak signal-to-noise ratio of the reconstructed multispectral image, while there are almost no significant perceptual differences in the watermarked RGB image.

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References

  1. Yamaguchi, M., Haneishi, H., Ohyama, N.: Beyond red-green-blue (RGB): spectrum-based color imaging technology. J. Imaging Sci. Technol. 52, 10201–10211 (2008)

    Article  Google Scholar 

  2. Haneishi, H., Hasegawa, T., Hosoi, A., Yokoyama, Y., Tsumura, N., Miyake, Y.: System design for accurately estimating the spectral reflectance of art paintings. Appl. Opt. 39, 6621 (2000)

    Article  ADS  Google Scholar 

  3. Stigell, P., Miyata, K., Hauta-Kasari, M.: Wiener estimation method in estimating of spectral reflectance from RGB images. Pattern Recognit. Image Anal. 17, 233 (2007)

    Article  Google Scholar 

  4. Shen, H., Zhang, H., Xin, J., Shao, S.: Optimal selection of representative colors for spectral reflectance reconstruction in a multispectral imaging system. Appl. Opt. 47, 2494 (2008)

    Article  ADS  Google Scholar 

  5. Murakami, Y., Yamaguchi, M., Ohyama, N.: Dictionary-based estimation of spectra for wide-gamut color imaging. Color Res. Appl. 38, 120 (2013)

    Article  Google Scholar 

  6. Keusen, T.: Multispectral color system with an encoding format compatible with the conventional tristimulus model. J. Imaging Sci. Technol. 40, 510 (1996)

    Google Scholar 

  7. Hill, B.: Color capture, color management and the problem of metamerism: does multispectral imaging offer the solution? Proc. SPIE 3963, 2 (2000)

    ADS  Google Scholar 

  8. Yu, S., Murakami, Y., Obi, T., Yamaguchi, M., Ohyama, N.: Multispectral image compression for improvement of colorimetric and spectral reproducibility by nonlinear spectral transform. Opt. Rev. 13, 346 (2006)

    Article  Google Scholar 

  9. Takamura, S., Yashima, Y.: Multiband video signal coding with H.264/AVC, MPEG-4 Studio Profile and Motion JPEG 2000 and associated signal format. J. Inst. Image Electron. Eng. Jpn. 33, 792 (2004)

    Google Scholar 

  10. Shinoda, K., Murakami, Y., Yamaguchi, M., Ohyama, N.: Lossless and lossy coding for multispectral image based on sRGB standard and residual components. J. Electron. Imaging 20, 023003 (2011)

    Article  ADS  Google Scholar 

  11. IEC 61966-2-1: Multimedia systems and equipment—colour measurement and management—Part 2-1: colour management—default RGB colour space—sRGB (1999)

  12. Shinoda, K., Watanabe, A., Hasegawa, M., Kato, S.: Multispectral image estimation from RGB image based on digital watermarking. Association Internationale de la Couleur (to be published) (2015)

  13. CIE: Commission Internationale de l' Eclairage Proceedings, Cambridge University Press (1932)

  14. ISO 10526/CIE S005/E: joint ISO/CIE standard, “CIE standard illuminants for colorimetry” (1999)

  15. ITU-T Rec. T.801-ISO/IEC JTC1/SC29/WG1 15444–2: Information technology—JPEG2000 image coding system: Part 2 Extensions (2002)

  16. Fukuda, H., Uchiyama, T., Haneishi, H., Yamaguchi, M., Ohyama, N.: Development of 16-band multispectral image archiving system. Proc. SPIE 5667, 136 (2002)

    ADS  Google Scholar 

  17. Jasper software, version 1.900.1. http://www.ece.uvic.ca/~frodo/jasper/ (2011)

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 25870676. We would like to thank Masahiro Yamaguchi at the Tokyo Institute of Technology for providing the test images used in our experiments.

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Correspondence to Kazuma Shinoda.

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Shinoda, K., Watanabe, A., Hasegawa, M. et al. Multispectral information hiding in RGB image using bit-plane-based watermarking and its application. Opt Rev 22, 469–476 (2015). https://doi.org/10.1007/s10043-015-0082-9

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  • DOI: https://doi.org/10.1007/s10043-015-0082-9

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