Published February 28, 2019 | Version v1
Journal article Open

DEVELOPMENT OF THE ALGORITHM OF VIDEO IMAGE ADAPTATION TO SPECTRAL POWER DISTRIBUTION OF ILLUMINANTS

Authors/Creators

  • 1. O. S. Popov Odessa National Academy of Telecommunications

Description

Proposals for further progress of video technologies, issues that need to be resolved to implement this progress and possible ways to implement them in real devices of special and general application are made. It is proposed to supplement the conventional model of the video path with a color perception model and an adaptive model of the spectral power distribution of the illuminant. Attention is paid to the end devices of the video path, which may introduce unacceptable changes in the transmitted video information, namely color. The schemes of the algorithm of adaptation to the spectral power distribution of the illuminant are presented. The possibility of universal use of the proposed algorithm in video transmission systems is considered. The algorithm of video image adaptation to the spectral power distribution of illuminants based on the selection of reference spectral power distributions with the given color coordinates is proposed. The algorithm of allocation of the spectral power distribution of the illuminant from the overall image scene is presented. Metrological support to assess the influence of the illuminant on the quality of color rendering is proposed. It is proposed to use spectral color distributions, the set of which is presented in the paper, as optical test images for testing the color rendering quality. Comparative characteristics with existing sets of spectral power distributions are presented and it is shown that they are not enough to implement the proposed algorithm. The simulation results prove the necessity and advantages of using the proposed algorithm. The image after the application of the algorithm is such if it was observed in sunlight, regardless of what type of lighting was used during shooting or observation. In addition, the presented algorithm allows adaptation to the spectral power distribution of various illuminants, such as incandescent lamps, fluorescent, LED, signal flares, and the like

Files

Development of the algorithm of video image adaptation to spectral power distribution of illuminants.pdf

Files (2.5 MB)

Additional details

References

  • Recommendation ITU-R BT.709-6. Parameter values for the HDTV standards for production and international programme exchange (2015). Geneva, 19.
  • Recommendation ITU-R BT.2020-2. Parameter values for the HDTV standards for production and international programme exchange (2015). Geneva, 8.
  • Recommendation ITU-R BT.2100. Image parameter values for high dynamic range television for use in production and international programme exchange (2018). Geneva, 16.
  • ITU-R Television colorimetry elements (2017). Geneva, 78.
  • CIE Technical Report: Colorimetry (2004). Geneva, 19.
  • Pyliavskyi, V. (2014). An evaluations of color reproduction distortion in high definition television path with use of color bar signals. Izvestiya Vysshikh Uchebnykh Zavedenii Rossii. Radioelektronika, 3, 26–32.
  • Phuangsuwan, C., Ikeda, M. (2017). Chromatic adaptation to illumination investigated with adapting and adapted color. Color Research & Application, 42 (5), 571–579. doi: https://doi.org/10.1002/col.22117
  • Gofaizen, O., Pyliavskyi, V., Osharovska, O., Patlayenko, M. (2017). Adaptation to observation conditions in television systems by means of signal correction. 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). doi: https://doi.org/10.1109/infocommst.2017.8246413
  • Pyliavskyi, V., Gofaizen, O., Siden, S., Vakarchuk, A. (2018). Use color appearance model for video applications. 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). doi: https://doi.org/10.1109/tcset.2018.8336419
  • Li, C., Li, Z., Wang, Z., Xu, Y., Luo, M. R., Cui, G. et. al. (2017). Comprehensive color solutions: CAM16, CAT16, and CAM16-UCS. Color Research & Application, 42 (6), 703–718. doi: https://doi.org/10.1002/col.22131
  • Li, C., Xu, Y., Wang, Z., Luo, M. R., Cui, G., Melgosa, M. et. al. (2018). Comparing two-step and one-step chromatic adaptation transforms using the CAT16 model. Color Research & Application, 43 (5), 633–642. doi: https://doi.org/10.1002/col.22226
  • Xu, L., Zhao, B., Luo, M. R. (2018). Colour gamut mapping between small and large colour gamuts: Part I gamut compression. Optics Express, 26 (9), 11481. doi: https://doi.org/10.1364/oe.26.011481
  • Xu, L., Zhao, B., Luo, M. R. (2018). Color gamut mapping between small and large color gamuts: part II gamut extension. Optics Express, 26 (13), 17335. doi: https://doi.org/10.1364/oe.26.017335
  • Zhao, B., Xu, L., Luo, M. R., Safdar, M. (2018). Evaluation of Gamut Mapping Algorithms in different Uniform Colour Spaces. 2018 Colour and Visual Computing Symposium (CVCS). doi: https://doi.org/10.1109/cvcs.2018.8496580
  • Khanh, T. Q., Bodrogi, P., Vinh, T. Q. (2017). Color Quality of Semiconductor and Conventional Light Sources. Wiley, 370. doi: https://doi.org/10.1002/9783527803453
  • Gofaizen, O. V., Pilyavskii, V. (2012). Didital television systems colour gamut. Digital Technologies, 11, 47–70.
  • Bukov, R. M. (1988). The quality of color television images. Radio and Communication.
  • Luo, M. R., Cui, G., Li, C. (2006). Uniform colour spaces based on CIECAM02 colour appearance model. Color Research & Application, 31 (4), 320–330. doi: https://doi.org/10.1002/col.20227
  • Pilyavskyi, V. V. (2014). On the selection of test material for colorimetry assesment of a quality of ultra high definition TV video path. Modern problems of radio engineering and telecommunications.
  • ISO/TR 16066:2003. Graphic technology – Standard object colour spectra database for colour reproduction evaluation (SOCS) (2003). Geneva: ISO, 46.
  • Floral Reflectance Database. Available at: http://reflectance.co.uk/
  • Gofaizen, O. V., Pilyavskiy, V. V. (2013). Construction of equidistant grid in uniform color space, uniformly filling color gamut transmitted and reproduced by television systems. Digital Technologies, 14, 62–80.