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Algorithm Research on Improving Halo Defects Based on Guided Filtering

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Communications, Signal Processing, and Systems (CSPS 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 654))

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Abstract

In this paper, the improvement of guided filtering on halo defects in spatial color gamut mapping is proposed. The halo phenomenon is the main defect of the spatial color gamut mapping algorithm. This paper analyzes the principle and theoretical calculation method of guided filtering and proposes a new algorithm to improve the halo defect based on guided filtering. The mapping experiment of the new algorithm is carried out, and compared with the HPMinDE algorithm, the secondary algorithm in the paper. The comprehensive evaluation is carried out from three aspects of image color difference value, structural similarity, and algorithm running time. The results show that the new algorithm proposed in this paper has smaller color difference, larger structural similarity index and is closer to the original image, which verifies the feasibility and advantages of this algorithm. The research results of this paper have positive significance in the field of spatial color gamut mapping, and also have certain application value in the fields of edge detection, tone mapping, non-photorealistic rendering, and so on.

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References

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 61701344).

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Authors and Affiliations

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

    Yan Li, Tiantian Guan, Jingwen He & Zichen Cheng

Authors
  1. Yan Li
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  2. Tiantian Guan
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  3. Jingwen He
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  4. Zichen Cheng
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Corresponding author

Correspondence to Tiantian Guan .

Editor information

Editors and Affiliations

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

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Dalian University of Technology, Dalian, China

    Xin Liu

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

    Zhenyu Na

  5. Huazhong Agricultural University, Wuhan, China

    Xiaoxia Li

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

    Baoju Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, Y., Guan, T., He, J., Cheng, Z. (2021). Algorithm Research on Improving Halo Defects Based on Guided Filtering. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_229

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  • DOI: https://doi.org/10.1007/978-981-15-8411-4_229

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8410-7

  • Online ISBN: 978-981-15-8411-4

  • eBook Packages: EngineeringEngineering (R0)

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