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Research and Evaluation of Color Gamut Extension Algorithm Based on Image

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

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Abstract

In this paper, a new color gamut extension mapping algorithm based on the image is proposed by using the theoretical three-dimensional color domain boundary. The algorithm can be compatible with the existing conventional gamut video system and give full play to the reappearance advantage of WCG Rec.2020 display devices. In this paper, the mapping relationship between the two color gamut boundaries of Rec.709 and Rec.2020 is determined by the tone angle and the space position angle, and the extension coefficient lookup table of the conventional color gamut extends to the Rec.2020 WCG gamut is obtained. Then the color gamut expansion between the two system gamut is realized by the bilateral filtering and the lookup table assignment. In addition, this paper selects two images from the TID 2008 image library, and carries out data analysis and index evaluation on the color gamut mapping algorithm proposed in this paper. The results show that because the relative position between pixels of the source image is taken into account, the algorithm preserves the color features of the image better.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No: 61701344) and Student’s Platform for Innovation and Entrepreneurship Training Program (Grant No: 201810065410).

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Authors and Affiliations

  1. Electronic and Communication Engineering College, Tianjin Normal University, Tianjin, China

    Yali Huang, Yan Li, Sile Liu & Dan Zhen

Authors
  1. Yali Huang
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  2. Yan Li
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  3. Sile Liu
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  4. Dan Zhen
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Corresponding author

Correspondence to Yali Huang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Huang, Y., Li, Y., Liu, S., Zhen, D. (2020). Research and Evaluation of Color Gamut Extension Algorithm Based on Image. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_53

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  • DOI: https://doi.org/10.1007/978-981-13-6508-9_53

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

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